diff --git a/.gitignore b/.gitignore
index b6786ee655..2f23f18d65 100644
--- a/.gitignore
+++ b/.gitignore
@@ -228,3 +228,4 @@ setup_leo.sh
server.pid
*.log
package-lock.json
+llama.cpp/
diff --git a/install.ps1 b/install.ps1
index a02cef0f6a..ef87c5ed08 100644
--- a/install.ps1
+++ b/install.ps1
@@ -3,6 +3,11 @@
# Local: Set-ExecutionPolicy -Scope Process -ExecutionPolicy Bypass; .\install.ps1 --local
# NoTorch: .\install.ps1 --no-torch (skip PyTorch, GGUF-only mode)
# Test: .\install.ps1 --package roland-sloth
+#
+# Env vars (priority: UNSLOTH_STUDIO_HOME > STUDIO_HOME > USERPROFILE-redirect > default):
+# UNSLOTH_STUDIO_HOME / STUDIO_HOME = path -> install under that path
+# (DataDir nests inside; user PATH not modified persistently).
+# Default ($USERPROFILE\.unsloth\studio) is preserved when no env var is set.
function Install-UnslothStudio {
$ErrorActionPreference = "Stop"
@@ -126,7 +131,94 @@ function Install-UnslothStudio {
}
$PythonVersion = "3.13"
- $StudioHome = Join-Path $env:USERPROFILE ".unsloth\studio"
+
+ # Resolve install destinations. Priority: UNSLOTH_STUDIO_HOME, then
+ # STUDIO_HOME alias, then USERPROFILE-redirect, then default.
+ # Reject whitespace-only values so " " is treated as unset (matches the
+ # Python resolvers' .strip()), preventing install/runtime layout drift.
+ $envOverrideVar = $null
+ $envOverride = $null
+ if (-not [string]::IsNullOrWhiteSpace($env:UNSLOTH_STUDIO_HOME)) {
+ $envOverrideVar = "UNSLOTH_STUDIO_HOME"
+ $envOverride = $env:UNSLOTH_STUDIO_HOME.Trim()
+ } elseif (-not [string]::IsNullOrWhiteSpace($env:STUDIO_HOME)) {
+ $envOverrideVar = "STUDIO_HOME"
+ $envOverride = $env:STUDIO_HOME.Trim()
+ }
+
+ # Custom Studio roots are not supported with --tauri (desktop app still
+ # resolves %USERPROFILE%\.unsloth\studio). Pass through if override == legacy.
+ if ($TauriMode -and $envOverride) {
+ $_tauriOverride = $envOverride
+ if ($_tauriOverride -eq "~" -or $_tauriOverride -like "~/*" -or $_tauriOverride -like "~\*") {
+ $_tauriOverride = (Join-Path $env:USERPROFILE $_tauriOverride.Substring(1).TrimStart('/','\'))
+ }
+ try {
+ $_tauriOverride = [System.IO.Path]::GetFullPath($_tauriOverride)
+ } catch {}
+ $_legacyTauriRoot = Join-Path $env:USERPROFILE ".unsloth\studio"
+ try {
+ $_legacyTauriRoot = [System.IO.Path]::GetFullPath($_legacyTauriRoot)
+ } catch {}
+ # Strip trailing separators so ".../studio\" matches ".../studio".
+ $_trimSeps = @(
+ [System.IO.Path]::DirectorySeparatorChar,
+ [System.IO.Path]::AltDirectorySeparatorChar
+ )
+ $_tauriOverride = $_tauriOverride.TrimEnd($_trimSeps)
+ $_legacyTauriRoot = $_legacyTauriRoot.TrimEnd($_trimSeps)
+ if ($_tauriOverride -ne $_legacyTauriRoot) {
+ Write-Host "ERROR: $envOverrideVar is not supported with --tauri." -ForegroundColor Red
+ Write-Host " The desktop app still uses the legacy %USERPROFILE%\.unsloth\studio root." -ForegroundColor Red
+ Write-Host " Run install.ps1 without --tauri for custom-root shell installs," -ForegroundColor Yellow
+ Write-Host " or unset the env var for default desktop installs." -ForegroundColor Yellow
+ throw "$envOverrideVar is not supported with --tauri."
+ }
+ }
+
+ $defaultProfile = $null
+ try { $defaultProfile = [Environment]::GetFolderPath("UserProfile") } catch {}
+
+ # LOCALAPPDATA may be unset in service / CI contexts; Join-Path would abort
+ # under ErrorActionPreference=Stop without this guard.
+ $defaultDataDir = if ($env:LOCALAPPDATA -and -not [string]::IsNullOrWhiteSpace($env:LOCALAPPDATA)) {
+ Join-Path $env:LOCALAPPDATA "Unsloth Studio"
+ } else { $null }
+
+ if ($envOverride) {
+ # Tilde expansion: env vars aren't subject to it when quoted on assignment.
+ if ($envOverride -eq "~" -or $envOverride -like "~/*" -or $envOverride -like "~\*") {
+ $envOverride = (Join-Path $env:USERPROFILE $envOverride.Substring(1).TrimStart('/','\'))
+ }
+ try {
+ # .NET API: New-Item -Path treats brackets as wildcards and has no
+ # -LiteralPath in PS 5.1, so a root like C:\studio[abc] would fail.
+ [System.IO.Directory]::CreateDirectory($envOverride) | Out-Null
+ $StudioHome = (Resolve-Path -LiteralPath $envOverride).Path
+ } catch {
+ Write-Host "ERROR: $envOverrideVar=$envOverride cannot be created or accessed." -ForegroundColor Red
+ throw "$envOverrideVar=$envOverride cannot be created or accessed."
+ }
+ $probe = Join-Path $StudioHome (".unsloth-write-probe-" + [guid]::NewGuid())
+ try {
+ # WriteAllText: literal-path safe + closes handle so Remove-Item works.
+ [System.IO.File]::WriteAllText($probe, "")
+ Remove-Item -LiteralPath $probe -Force -ErrorAction SilentlyContinue
+ } catch {
+ Write-Host "ERROR: $envOverrideVar=$StudioHome is not writable." -ForegroundColor Red
+ throw "$envOverrideVar=$StudioHome is not writable."
+ }
+ $StudioDataDir = Join-Path $StudioHome "share"
+ $StudioRedirectMode = 'env'
+ } elseif ($defaultProfile -and $env:USERPROFILE -and ($env:USERPROFILE -ne $defaultProfile)) {
+ $StudioHome = Join-Path $env:USERPROFILE ".unsloth\studio"
+ $StudioDataDir = $defaultDataDir
+ $StudioRedirectMode = 'profile'
+ } else {
+ $StudioHome = Join-Path $env:USERPROFILE ".unsloth\studio"
+ $StudioDataDir = $defaultDataDir
+ $StudioRedirectMode = 'default'
+ }
$VenvDir = Join-Path $StudioHome "unsloth_studio"
$Rule = [string]::new([char]0x2500, 52)
@@ -378,24 +470,24 @@ function Install-UnslothStudio {
[Parameter(Mandatory = $true)][string]$UnslothExePath
)
- if (-not (Test-Path $UnslothExePath)) {
+ if (-not (Test-Path -LiteralPath $UnslothExePath)) {
substep "cannot create shortcuts, unsloth.exe not found at $UnslothExePath" "Yellow"
return
}
try {
# Persist an absolute path in launcher scripts so shortcut working
# directory changes do not break process startup.
- $UnslothExePath = (Resolve-Path $UnslothExePath).Path
+ $UnslothExePath = (Resolve-Path -LiteralPath $UnslothExePath).Path
# Escape for single-quoted embedding in generated launcher script.
# This prevents runtime variable expansion for paths containing '$'.
$SingleQuotedExePath = $UnslothExePath -replace "'", "''"
- $localAppDataDir = $env:LOCALAPPDATA
- if (-not $localAppDataDir -or [string]::IsNullOrWhiteSpace($localAppDataDir)) {
- substep "LOCALAPPDATA path unavailable; skipped shortcut creation" "Yellow"
+ # $StudioDataDir = LOCALAPPDATA\Unsloth Studio, or $StudioHome\share in env-mode.
+ if (-not $StudioDataDir -or [string]::IsNullOrWhiteSpace($StudioDataDir)) {
+ substep "DataDir path unavailable; skipped shortcut creation" "Yellow"
return
}
- $appDir = Join-Path $localAppDataDir "Unsloth Studio"
+ $appDir = $StudioDataDir
$launcherPs1 = Join-Path $appDir "launch-studio.ps1"
$launcherVbs = Join-Path $appDir "launch-studio.vbs"
$desktopDir = [Environment]::GetFolderPath("Desktop")
@@ -427,23 +519,89 @@ function Install-UnslothStudio {
}
$iconUrl = "https://raw.githubusercontent.com/unslothai/unsloth/main/studio/frontend/public/unsloth.ico"
- if (-not (Test-Path $appDir)) {
- New-Item -ItemType Directory -Path $appDir -Force | Out-Null
+ if (-not (Test-Path -LiteralPath $appDir)) {
+ [System.IO.Directory]::CreateDirectory($appDir) | Out-Null
+ }
+
+ # Same-install discriminator: per-install opaque id written once at
+ # install time and read by both this launcher and the backend
+ # (/api/health). Replaces the older sha256(resolved $StudioHome)
+ # scheme to (a) avoid leaking the install path on -H 0.0.0.0
+ # deployments and (b) sidestep launcher/backend canonicalization
+ # drift (Resolve-Path vs Path.resolve() junction handling). Lives
+ # at $StudioHome\share\ (not $appDir) so the backend can find it
+ # via _STUDIO_ROOT_RESOLVED / "share" / "studio_install_id"
+ # regardless of mode. 32 bytes of crypto random -> 64 hex chars.
+ $_studioIdDir = Join-Path $StudioHome "share"
+ if (-not (Test-Path -LiteralPath $_studioIdDir)) {
+ [System.IO.Directory]::CreateDirectory($_studioIdDir) | Out-Null
+ }
+ $_studioIdFile = Join-Path $_studioIdDir "studio_install_id"
+ $_studioRootId = ""
+ if ((Test-Path -LiteralPath $_studioIdFile) -and `
+ ((Get-Item -LiteralPath $_studioIdFile).Length -gt 0)) {
+ $_studioRootId = ([System.IO.File]::ReadAllText($_studioIdFile)).Trim()
+ }
+ if (-not $_studioRootId) {
+ $_idBytes = New-Object byte[] 32
+ [Security.Cryptography.RandomNumberGenerator]::Create().GetBytes($_idBytes)
+ $_studioRootId = -join ($_idBytes | ForEach-Object { $_.ToString('x2') })
+ # Atomic write: write to a temp sibling then rename, so a partial
+ # install cannot leave a half-written id.
+ $_idTmp = $_studioIdFile + ".$PID.tmp"
+ [System.IO.File]::WriteAllText($_idTmp, $_studioRootId)
+ Move-Item -LiteralPath $_idTmp -Destination $_studioIdFile -Force
+ }
+
+ # Env-mode: persist UNSLOTH_STUDIO_HOME (and llama path) so fresh
+ # shells don't need to re-export, and bake per-install $portFile /
+ # $mutexName so concurrent custom-root launchers cannot serialize
+ # through one global mutex on 8888..8908. Default installs get an
+ # empty prefix to match pre-PR behavior.
+ $studioHomeExport = if ($StudioRedirectMode -eq 'env') {
+ # When override == legacy default, llama.cpp stays at
+ # ~/.unsloth/llama.cpp (one shared build). Canonicalize the
+ # legacy side so the comparison survives path normalization.
+ $_legacyStudio = Join-Path $env:USERPROFILE ".unsloth\studio"
+ if (Test-Path -LiteralPath $_legacyStudio -PathType Container) {
+ $_legacyStudio = (Resolve-Path -LiteralPath $_legacyStudio).Path
+ }
+ $_llamaPath = if ($StudioHome -eq $_legacyStudio) {
+ Join-Path $env:USERPROFILE ".unsloth\llama.cpp"
+ } else {
+ Join-Path $StudioHome "llama.cpp"
+ }
+ $_sq = $StudioHome -replace "'", "''"
+ $_llama = $_llamaPath -replace "'", "''"
+ $_appDirSq = $appDir -replace "'", "''"
+ $_appBytes = [Text.Encoding]::UTF8.GetBytes($appDir)
+ $_appHash = ([BitConverter]::ToString(
+ [Security.Cryptography.SHA256]::Create().ComputeHash($_appBytes)
+ ) -replace '-', '').Substring(0, 16)
+ # UNSLOTH_LLAMA_CPP_PATH is a pre-existing user override; only default if unset.
+ "`$env:UNSLOTH_STUDIO_HOME = '$_sq'`nif (-not `$env:UNSLOTH_LLAMA_CPP_PATH) {`n `$env:UNSLOTH_LLAMA_CPP_PATH = '$_llama'`n}`n`$portFile = '$_appDirSq\studio.port'`n`$mutexName = 'Local\UnslothStudioLauncher-$_appHash'`n"
+ } else {
+ "`$portFile = `$null`n`$mutexName = 'Local\UnslothStudioLauncher'`n"
}
$launcherContent = @"
-`$ErrorActionPreference = 'Stop'
+$studioHomeExport`$ErrorActionPreference = 'Stop'
`$basePort = 8888
`$maxPortOffset = 20
`$timeoutSec = 60
`$pollIntervalMs = 1000
+`$_ExpectedStudioRootId = '$_studioRootId'
function Test-StudioHealth {
param([Parameter(Mandatory = `$true)][int]`$Port)
try {
`$url = "http://127.0.0.1:`$Port/api/health"
`$resp = Invoke-RestMethod -Uri `$url -TimeoutSec 1 -Method Get
- return (`$resp -and `$resp.status -eq 'healthy' -and `$resp.service -eq 'Unsloth UI Backend')
+ if (-not (`$resp -and `$resp.status -eq 'healthy' -and `$resp.service -eq 'Unsloth UI Backend')) { return `$false }
+ # why: verify the backend belongs to THIS install via the install-time
+ # hex digest; raw path is not leaked over /api/health.
+ if (`$_ExpectedStudioRootId -and `$resp.studio_root_id -ne `$_ExpectedStudioRootId) { return `$false }
+ return `$true
} catch {
return `$false
}
@@ -469,6 +627,17 @@ function Get-CandidatePorts {
}
function Find-HealthyStudioPort {
+ if (`$portFile) {
+ if (Test-Path -LiteralPath `$portFile) {
+ `$cached = Get-Content -LiteralPath `$portFile -ErrorAction SilentlyContinue | Select-Object -First 1
+ if (`$cached -match '^\d+`$') {
+ `$cachedPort = [int]`$cached
+ if (Test-StudioHealth -Port `$cachedPort) { return `$cachedPort }
+ Remove-Item -LiteralPath `$portFile -Force -ErrorAction SilentlyContinue
+ }
+ }
+ return `$null
+ }
foreach (`$candidate in (Get-CandidatePorts)) {
if (Test-StudioHealth -Port `$candidate) {
return `$candidate
@@ -522,7 +691,7 @@ if (`$existingPort) {
exit 0
}
-`$launchMutex = [System.Threading.Mutex]::new(`$false, 'Local\UnslothStudioLauncher')
+`$launchMutex = [System.Threading.Mutex]::new(`$false, `$mutexName)
`$haveMutex = `$false
try {
try {
@@ -552,7 +721,9 @@ try {
} catch {}
exit 1
}
- `$studioCommand = '& "' + `$studioExe + '" studio -p ' + `$launchPort
+ # Single-quote the path in the child -Command so `$` / backtick in custom
+ # roots don't get reparsed; double any apostrophes so 'O''Brien' survives.
+ `$studioCommand = "& '" + (`$studioExe -replace "'", "''") + "' studio -p " + `$launchPort
`$launchArgs = @(
'-NoExit',
'-NoProfile',
@@ -576,9 +747,13 @@ try {
`$browserOpened = `$false
`$deadline = (Get-Date).AddSeconds(`$timeoutSec)
while ((Get-Date) -lt `$deadline) {
- `$healthyPort = Find-HealthyStudioPort
- if (`$healthyPort) {
- Start-Process "http://localhost:`$healthyPort"
+ if (Test-StudioHealth -Port `$launchPort) {
+ if (`$portFile) {
+ try {
+ [System.IO.File]::WriteAllText(`$portFile, "`$launchPort`n")
+ } catch {}
+ }
+ Start-Process "http://localhost:`$launchPort"
`$browserOpened = `$true
break
}
@@ -613,19 +788,19 @@ cmd = "powershell -NoProfile -ExecutionPolicy Bypass -WindowStyle Hidden -File "
shell.Run cmd, 0, False
"@
# WSH handles UTF-16LE reliably for .vbs files with non-ASCII paths.
- Set-Content -Path $launcherVbs -Value $vbsContent -Encoding Unicode -Force
+ Set-Content -LiteralPath $launcherVbs -Value $vbsContent -Encoding Unicode -Force
# Prefer bundled icon from local clone/dev installs.
# If not available, best-effort download from raw GitHub.
# We only attach the icon if the resulting file has a valid ICO header.
$hasValidIcon = $false
- if ($bundledIcon -and (Test-Path $bundledIcon)) {
+ if ($bundledIcon -and (Test-Path -LiteralPath $bundledIcon)) {
try {
- Copy-Item -Path $bundledIcon -Destination $iconPath -Force
+ Copy-Item -LiteralPath $bundledIcon -Destination $iconPath -Force
} catch {
Write-Host "[DEBUG] Error copying bundled icon: $($_.Exception.Message)" -ForegroundColor DarkGray
}
- } elseif (-not (Test-Path $iconPath)) {
+ } elseif (-not (Test-Path -LiteralPath $iconPath)) {
try {
Invoke-WebRequest -Uri $iconUrl -OutFile $iconPath -UseBasicParsing
} catch {
@@ -633,7 +808,7 @@ shell.Run cmd, 0, False
}
}
- if (Test-Path $iconPath) {
+ if (Test-Path -LiteralPath $iconPath) {
try {
$bytes = [System.IO.File]::ReadAllBytes($iconPath)
if (
@@ -645,14 +820,21 @@ shell.Run cmd, 0, False
) {
$hasValidIcon = $true
} else {
- Remove-Item $iconPath -Force -ErrorAction SilentlyContinue
+ Remove-Item -LiteralPath $iconPath -Force -ErrorAction SilentlyContinue
}
} catch {
Write-Host "[DEBUG] Error validating or removing icon: $($_.Exception.Message)" -ForegroundColor DarkGray
- Remove-Item $iconPath -Force -ErrorAction SilentlyContinue
+ Remove-Item -LiteralPath $iconPath -Force -ErrorAction SilentlyContinue
}
}
+ # Env-mode: skip persistent Desktop / Start Menu .lnk shortcuts
+ # that may point at a deleted workspace; launcher + icon stay.
+ if ($StudioRedirectMode -eq 'env') {
+ substep "wrote launcher at $launcherPs1 (persistent shortcuts skipped in env-override mode)"
+ return
+ }
+
$wscriptExe = Join-Path $env:SystemRoot "System32\wscript.exe"
$shortcutArgs = "//B //Nologo `"$launcherVbs`""
@@ -850,8 +1032,9 @@ shell.Run cmd, 0, False
# Pass the resolved executable path to uv so it does not re-resolve
# a version string back to a conda interpreter.
Write-TauriLog "STEP" "Creating virtual environment"
- if (-not (Test-Path $StudioHome)) {
- New-Item -ItemType Directory -Path $StudioHome -Force | Out-Null
+ if (-not (Test-Path -LiteralPath $StudioHome)) {
+ # .NET API: New-Item -Path treats brackets as wildcards.
+ [System.IO.Directory]::CreateDirectory($StudioHome) | Out-Null
}
$VenvPython = Join-Path $VenvDir "Scripts\python.exe"
@@ -865,11 +1048,13 @@ shell.Run cmd, 0, False
$stamp = Get-Date -Format "yyyyMMddHHmmss"
$candidate = Join-Path $StudioHome "unsloth_studio.rollback.$stamp.$PID"
$suffix = 0
- while (Test-Path $candidate) {
+ # -LiteralPath: a custom $StudioHome may contain [ ] * ? which
+ # plain Test-Path / Move-Item would interpret as wildcards.
+ while (Test-Path -LiteralPath $candidate) {
$suffix++
$candidate = Join-Path $StudioHome "unsloth_studio.rollback.$stamp.$PID.$suffix"
}
- Move-Item -Path $ExistingDir -Destination $candidate -ErrorAction Stop
+ Move-Item -LiteralPath $ExistingDir -Destination $candidate -ErrorAction Stop
$script:StudioVenvRollbackDir = $candidate
$script:StudioVenvRollbackTarget = $ExistingDir
$script:StudioVenvRollbackActive = $true
@@ -880,16 +1065,16 @@ shell.Run cmd, 0, False
if (-not $script:StudioVenvRollbackActive) { return }
$backup = $script:StudioVenvRollbackDir
$target = $script:StudioVenvRollbackTarget
- if (-not $backup -or -not (Test-Path $backup)) {
+ if (-not $backup -or -not (Test-Path -LiteralPath $backup)) {
$script:StudioVenvRollbackActive = $false
return
}
substep "restoring previous environment after failed install..." "Yellow"
try {
- if (Test-Path $target) {
- Remove-Item -Recurse -Force $target -ErrorAction SilentlyContinue
+ if (Test-Path -LiteralPath $target) {
+ Remove-Item -LiteralPath $target -Recurse -Force -ErrorAction SilentlyContinue
}
- Move-Item -Path $backup -Destination $target -Force -ErrorAction Stop
+ Move-Item -LiteralPath $backup -Destination $target -Force -ErrorAction Stop
substep "restored previous environment"
$script:StudioVenvRollbackActive = $false
$script:StudioVenvRollbackDir = $null
@@ -902,14 +1087,29 @@ shell.Run cmd, 0, False
function Complete-StudioVenvRollback {
if (-not $script:StudioVenvRollbackActive) { return }
$backup = $script:StudioVenvRollbackDir
- if ($backup -and (Test-Path $backup)) {
- Remove-Item -Recurse -Force $backup -ErrorAction SilentlyContinue
+ if ($backup -and (Test-Path -LiteralPath $backup)) {
+ Remove-Item -LiteralPath $backup -Recurse -Force -ErrorAction SilentlyContinue
}
$script:StudioVenvRollbackActive = $false
$script:StudioVenvRollbackDir = $null
}
- if (Test-Path $VenvPython) {
+ if (Test-Path -LiteralPath $VenvPython) {
+ # why: matching guard to the .venv branch below -- in env-mode
+ # $StudioHome is a user-chosen workspace, so refuse to nuke an
+ # existing $StudioHome\unsloth_studio that lacks Studio sentinels.
+ # -PathType Leaf rejects a directory at the sentinel path. Accept the
+ # in-VENV ownership marker so partial-install retries are not blocked.
+ if (
+ $StudioRedirectMode -eq 'env' -and
+ -not (Test-Path -LiteralPath (Join-Path $VenvDir ".unsloth-studio-owned") -PathType Leaf) -and
+ -not (Test-Path -LiteralPath (Join-Path $StudioHome "share\studio.conf") -PathType Leaf) -and
+ -not (Test-Path -LiteralPath (Join-Path $StudioHome "bin\unsloth.exe") -PathType Leaf)
+ ) {
+ Write-Host "[ERROR] $VenvDir already exists but does not look like an Unsloth Studio install." -ForegroundColor Red
+ Write-Host " Move it aside or choose an empty UNSLOTH_STUDIO_HOME." -ForegroundColor Yellow
+ throw "Refusing to delete non-Studio venv at $VenvDir"
+ }
# New layout already exists -- replace only after preserving rollback copy.
substep "preserving existing environment for rollback..."
try {
@@ -918,8 +1118,13 @@ shell.Run cmd, 0, False
Write-Host "[ERROR] Could not prepare existing environment for reinstall: $($_.Exception.Message)" -ForegroundColor Red
return (Exit-InstallFailure "Could not prepare existing environment for reinstall")
}
- } elseif (Test-Path (Join-Path $StudioHome ".venv\Scripts\python.exe")) {
- # Old layout (~/.unsloth/studio/.venv) exists -- validate before migrating
+ } elseif (
+ $StudioRedirectMode -ne 'env' `
+ -and (Test-Path -LiteralPath (Join-Path $StudioHome ".venv\Scripts\python.exe"))
+ ) {
+ # Old layout (~/.unsloth/studio/.venv) exists -- validate before migrating.
+ # Skip in env-mode so we don't blow away an unrelated .venv at the
+ # workspace root (e.g. user's existing project Python venv).
$OldVenv = Join-Path $StudioHome ".venv"
$OldPy = Join-Path $OldVenv "Scripts\python.exe"
substep "found legacy Studio environment, validating..."
@@ -936,24 +1141,29 @@ shell.Run cmd, 0, False
$ErrorActionPreference = $prevEAP2
if ($legacyOk) {
substep "legacy environment is healthy -- migrating..."
- Move-Item -Path $OldVenv -Destination $VenvDir -Force
+ Move-Item -LiteralPath $OldVenv -Destination $VenvDir -Force
substep "moved .venv -> unsloth_studio"
$_Migrated = $true
} else {
substep "legacy environment failed validation -- creating fresh environment" "Yellow"
$invalidVenv = Join-Path $StudioHome (".venv.invalid.{0}.{1}" -f (Get-Date -Format "yyyyMMddHHmmss"), $PID)
- Move-Item -Path $OldVenv -Destination $invalidVenv -Force -ErrorAction SilentlyContinue
+ Move-Item -LiteralPath $OldVenv -Destination $invalidVenv -Force -ErrorAction SilentlyContinue
}
- } elseif (Test-Path (Join-Path $env:USERPROFILE "unsloth_studio\Scripts\python.exe")) {
- # CWD-relative venv from old install.ps1 -- migrate to absolute path
+ } elseif (
+ $StudioRedirectMode -ne 'env' `
+ -and (Test-Path -LiteralPath (Join-Path $env:USERPROFILE "unsloth_studio\Scripts\python.exe"))
+ ) {
+ # CWD-relative venv from old install.ps1 -> migrate to absolute path.
+ # Skip in env-mode so we don't relocate the default-install venv into
+ # the workspace root.
$CwdVenv = Join-Path $env:USERPROFILE "unsloth_studio"
substep "found CWD-relative Studio environment, migrating to $VenvDir..."
- Move-Item -Path $CwdVenv -Destination $VenvDir -Force
+ Move-Item -LiteralPath $CwdVenv -Destination $VenvDir -Force
substep "moved ~/unsloth_studio -> ~/.unsloth/studio/unsloth_studio"
$_Migrated = $true
}
- if (-not (Test-Path $VenvPython)) {
+ if (-not (Test-Path -LiteralPath $VenvPython)) {
step "venv" "creating Python $($DetectedPython.Version) virtual environment"
substep "$VenvDir"
$venvExit = Invoke-InstallCommand { uv venv $VenvDir --python "$($DetectedPython.Path)" }
@@ -966,6 +1176,13 @@ shell.Run cmd, 0, False
substep "$VenvDir"
}
+ # Mark the freshly-created venv as Studio-owned so a partial install can be
+ # repaired by re-running install.ps1; the env-mode deletion guard above
+ # accepts this marker as the primary sentinel.
+ if (Test-Path -LiteralPath $VenvDir -PathType Container) {
+ try { [System.IO.File]::WriteAllText((Join-Path $VenvDir ".unsloth-studio-owned"), "") } catch {}
+ }
+
# ── Detect GPU (robust: PATH + hardcoded fallback paths, mirrors setup.ps1) ──
$HasNvidiaSmi = $false
$NvidiaSmiExe = $null
@@ -1054,7 +1271,7 @@ shell.Run cmd, 0, False
if ($StudioLocalInstall -and (Test-Path (Join-Path $RepoRoot "studio\backend\requirements\no-torch-runtime.txt"))) {
return Join-Path $RepoRoot "studio\backend\requirements\no-torch-runtime.txt"
}
- $installed = Get-ChildItem -Path $VenvDir -Recurse -Filter "no-torch-runtime.txt" -ErrorAction SilentlyContinue |
+ $installed = Get-ChildItem -LiteralPath $VenvDir -Recurse -Filter "no-torch-runtime.txt" -ErrorAction SilentlyContinue |
Where-Object { $_.FullName -like "*studio*backend*requirements*no-torch-runtime.txt" } |
Select-Object -ExpandProperty FullName -First 1
return $installed
@@ -1068,7 +1285,7 @@ shell.Run cmd, 0, False
if ($SkipTorch) {
# No-torch: install unsloth + unsloth-zoo with --no-deps, then
# runtime deps (typer, safetensors, transformers, etc.) with --no-deps.
- $baseInstallExit = Invoke-InstallCommand { uv pip install --python $VenvPython --no-deps --reinstall-package unsloth --reinstall-package unsloth-zoo "unsloth>=2026.5.1" unsloth-zoo }
+ $baseInstallExit = Invoke-InstallCommand { uv pip install --python $VenvPython --no-deps --reinstall-package unsloth --reinstall-package unsloth-zoo "unsloth>=2026.5.2" unsloth-zoo }
if ($baseInstallExit -eq 0) {
$NoTorchReq = Find-NoTorchRuntimeFile
if ($NoTorchReq) {
@@ -1076,7 +1293,7 @@ shell.Run cmd, 0, False
}
}
} else {
- $baseInstallExit = Invoke-InstallCommand { uv pip install --python $VenvPython --reinstall-package unsloth --reinstall-package unsloth-zoo "unsloth>=2026.5.1" unsloth-zoo }
+ $baseInstallExit = Invoke-InstallCommand { uv pip install --python $VenvPython --reinstall-package unsloth --reinstall-package unsloth-zoo "unsloth>=2026.5.2" unsloth-zoo }
}
if ($baseInstallExit -ne 0) {
Write-Host "[ERROR] Failed to install unsloth (exit code $baseInstallExit)" -ForegroundColor Red
@@ -1114,7 +1331,7 @@ shell.Run cmd, 0, False
if ($SkipTorch) {
# No-torch: install unsloth + unsloth-zoo with --no-deps, then
# runtime deps (typer, safetensors, transformers, etc.) with --no-deps.
- $baseInstallExit = Invoke-InstallCommand { uv pip install --python $VenvPython --no-deps --upgrade-package unsloth --upgrade-package unsloth-zoo "unsloth>=2026.5.1" unsloth-zoo }
+ $baseInstallExit = Invoke-InstallCommand { uv pip install --python $VenvPython --no-deps --upgrade-package unsloth --upgrade-package unsloth-zoo "unsloth>=2026.5.2" unsloth-zoo }
if ($baseInstallExit -eq 0) {
$NoTorchReq = Find-NoTorchRuntimeFile
if ($NoTorchReq) {
@@ -1122,7 +1339,7 @@ shell.Run cmd, 0, False
}
}
} elseif ($StudioLocalInstall) {
- $baseInstallExit = Invoke-InstallCommand { uv pip install --python $VenvPython --upgrade-package unsloth "unsloth>=2026.5.1" unsloth-zoo }
+ $baseInstallExit = Invoke-InstallCommand { uv pip install --python $VenvPython --upgrade-package unsloth "unsloth>=2026.5.2" unsloth-zoo }
} else {
$baseInstallExit = Invoke-InstallCommand { uv pip install --python $VenvPython --upgrade-package unsloth -- "$PackageName" }
}
@@ -1150,7 +1367,7 @@ shell.Run cmd, 0, False
Write-TauriLog "STEP" "Installing unsloth"
substep "installing unsloth (this may take a few minutes)..."
if ($StudioLocalInstall) {
- $baseInstallExit = Invoke-InstallCommand { uv pip install --python $VenvPython unsloth-zoo "unsloth>=2026.5.1" --torch-backend=auto }
+ $baseInstallExit = Invoke-InstallCommand { uv pip install --python $VenvPython unsloth-zoo "unsloth>=2026.5.2" --torch-backend=auto }
if ($baseInstallExit -ne 0) {
Write-Host "[ERROR] Failed to install unsloth (exit code $baseInstallExit)" -ForegroundColor Red
return (Exit-InstallFailure "Failed to install unsloth (exit code $baseInstallExit)" $baseInstallExit)
@@ -1192,23 +1409,25 @@ shell.Run cmd, 0, False
foreach ($rel in $overlayMap.Keys) {
$src = Join-Path $scriptDir $rel
$dst = Join-Path $VenvDir $overlayMap[$rel]
- if (-not (Test-Path $src)) { continue }
+ # -LiteralPath: $VenvDir derives from $StudioHome which may
+ # contain [ ] * ? when the user overrode UNSLOTH_STUDIO_HOME.
+ if (-not (Test-Path -LiteralPath $src)) { continue }
$dstParent = Split-Path -Parent $dst
- if (-not (Test-Path $dstParent)) {
+ if (-not (Test-Path -LiteralPath $dstParent)) {
Write-Host "[WARN] Overlay target dir missing: $dstParent; studio setup may use stale bundled file" -ForegroundColor Yellow
continue
}
try {
- if (-not (Test-Path $dst)) {
+ if (-not (Test-Path -LiteralPath $dst)) {
# Backfill: target file missing but parent dir exists.
- Copy-Item $src $dst -Force
+ Copy-Item -LiteralPath $src -Destination $dst -Force
substep ("backfilled bundled " + (Split-Path -Leaf $rel))
} else {
# Hash-compare so re-runs are no-ops when files already match.
- $srcHash = (Get-FileHash $src -Algorithm SHA256).Hash
- $dstHash = (Get-FileHash $dst -Algorithm SHA256).Hash
+ $srcHash = (Get-FileHash -LiteralPath $src -Algorithm SHA256).Hash
+ $dstHash = (Get-FileHash -LiteralPath $dst -Algorithm SHA256).Hash
if ($srcHash -ne $dstHash) {
- Copy-Item $src $dst -Force
+ Copy-Item -LiteralPath $src -Destination $dst -Force
substep ("applied bundled " + (Split-Path -Leaf $rel))
}
}
@@ -1225,7 +1444,8 @@ shell.Run cmd, 0, False
Write-TauriLog "STEP" "Running studio setup"
step "setup" "running unsloth studio setup..."
$UnslothExe = Join-Path $VenvDir "Scripts\unsloth.exe"
- if (-not (Test-Path $UnslothExe)) {
+ if (-not (Test-Path -LiteralPath $UnslothExe)) {
+ Write-TauriLog "ERROR" "unsloth CLI was not installed correctly"
Write-Host "[ERROR] unsloth CLI was not installed correctly." -ForegroundColor Red
Write-Host " Expected: $UnslothExe" -ForegroundColor Yellow
Write-Host " This usually means an older unsloth version was installed that does not include the Studio CLI." -ForegroundColor Yellow
@@ -1250,6 +1470,15 @@ shell.Run cmd, 0, False
# Use 'studio setup' (not 'studio update') because 'update' pops
# SKIP_STUDIO_BASE, which would cause redundant package reinstallation
# and bypass the fast-path version check from PR #4667.
+ # Propagate UNSLOTH_STUDIO_HOME only for env-override installs; otherwise
+ # an inherited value would put llama.cpp in the wrong place.
+ $previousUnslothStudioHome = $env:UNSLOTH_STUDIO_HOME
+ $hadPreviousUnslothStudioHome = ($null -ne $previousUnslothStudioHome)
+ if ($StudioRedirectMode -eq 'env') {
+ $env:UNSLOTH_STUDIO_HOME = $StudioHome
+ } else {
+ Remove-Item Env:UNSLOTH_STUDIO_HOME -ErrorAction SilentlyContinue
+ }
$studioArgs = @('studio', 'setup')
if ($script:UnslothVerbose) { $studioArgs += '--verbose' }
$env:UNSLOTH_INSTALL_ROLLBACK_MANAGED = "1"
@@ -1257,6 +1486,11 @@ shell.Run cmd, 0, False
& $UnslothExe @studioArgs
$setupExit = $LASTEXITCODE
} finally {
+ if ($hadPreviousUnslothStudioHome) {
+ $env:UNSLOTH_STUDIO_HOME = $previousUnslothStudioHome
+ } else {
+ Remove-Item Env:UNSLOTH_STUDIO_HOME -ErrorAction SilentlyContinue
+ }
Remove-Item Env:UNSLOTH_INSTALL_ROLLBACK_MANAGED -ErrorAction SilentlyContinue
}
if ($setupExit -ne 0) {
@@ -1301,20 +1535,32 @@ shell.Run cmd, 0, False
}
} catch { }
$ShimDir = Join-Path $StudioHome "bin"
- New-Item -ItemType Directory -Force -Path $ShimDir | Out-Null
+ [System.IO.Directory]::CreateDirectory($ShimDir) | Out-Null
$ShimExe = Join-Path $ShimDir "unsloth.exe"
+ # Fatal preflight outside the lock-handling try/catch -- a directory at
+ # the shim path must not be downgraded to "Continuing with the existing
+ # launcher", or the install finishes with no usable shim.
+ if (Test-Path -LiteralPath $ShimExe -PathType Container) {
+ Write-Host "[ERROR] Cannot create unsloth launcher: $ShimExe is a directory." -ForegroundColor Red
+ Write-Host " Move or remove it manually, then re-run the installer." -ForegroundColor Yellow
+ throw "Cannot create unsloth launcher: $ShimExe is a directory."
+ }
# try/catch: if unsloth.exe is locked (Studio running), keep the old shim.
$shimUpdated = $false
try {
- if (Test-Path $ShimExe) { Remove-Item $ShimExe -Force -ErrorAction Stop }
+ if (Test-Path -LiteralPath $ShimExe) { Remove-Item -LiteralPath $ShimExe -Force -ErrorAction Stop }
try {
+ # New-Item -ItemType HardLink does NOT accept -LiteralPath in any
+ # PowerShell version, so use -Path. Wildcards in $ShimExe (e.g.
+ # brackets in custom roots) glob-expand here and fall through to
+ # the Copy-Item -LiteralPath fallback below.
New-Item -ItemType HardLink -Path $ShimExe -Target $UnslothExe -ErrorAction Stop | Out-Null
} catch {
- Copy-Item -Path $UnslothExe -Destination $ShimExe -Force -ErrorAction Stop # fallback: copy
+ Copy-Item -LiteralPath $UnslothExe -Destination $ShimExe -Force -ErrorAction Stop # fallback: copy
}
$shimUpdated = $true
} catch {
- if (Test-Path $ShimExe) {
+ if (Test-Path -LiteralPath $ShimExe) {
Write-Host "[WARN] Could not refresh unsloth launcher at $ShimExe." -ForegroundColor Yellow
Write-Host " This usually means a running 'unsloth studio' process still holds the file open." -ForegroundColor Yellow
Write-Host " Close Studio and re-run the installer to pick up the latest launcher." -ForegroundColor Yellow
@@ -1325,10 +1571,13 @@ shell.Run cmd, 0, False
Write-Host " Launch unsloth studio directly via '$UnslothExe' until the next successful install." -ForegroundColor Yellow
}
}
- # Only add to PATH when the launcher actually exists on disk.
+ # Add to PATH only when launcher exists. Env-mode: session-only export,
+ # no registry change (workspace path may be deleted later).
$pathAdded = $false
- if (Test-Path $ShimExe) {
- $pathAdded = Add-ToUserPath -Directory $ShimDir -Position 'Prepend'
+ if (Test-Path -LiteralPath $ShimExe) {
+ if ($StudioRedirectMode -ne 'env') {
+ $pathAdded = Add-ToUserPath -Directory $ShimDir -Position 'Prepend'
+ }
}
if ($shimUpdated -and $pathAdded) {
step "path" "added unsloth launcher to PATH"
@@ -1336,12 +1585,20 @@ shell.Run cmd, 0, False
Refresh-SessionPath # sync current session with registry
Complete-StudioVenvRollback
+ # Env-mode session export AFTER Refresh-SessionPath; otherwise a legacy
+ # User PATH entry (Machine > User > current $env:Path) would win.
+ if ($StudioRedirectMode -eq 'env' -and (Test-Path -LiteralPath $ShimExe)) {
+ $env:Path = "$ShimDir;$env:Path"
+ step "path" "exported $ShimDir for this session (no registry PATH change in env-override mode)"
+ }
+
# ── Tauri mode: done, skip shortcuts and auto-launch ──
if ($TauriMode) {
Write-TauriLog "DONE" ""
return
}
+ # New-StudioShortcuts gates the .lnk shortcuts on env-mode internally.
New-StudioShortcuts -UnslothExePath $UnslothExe
# In interactive terminals, ask the user before starting Studio.
@@ -1360,8 +1617,21 @@ shell.Run cmd, 0, False
}
} else {
step "launch" "manual commands:"
- substep "& `"$VenvDir\Scripts\Activate.ps1`""
- substep "unsloth studio -p 8888"
+ # Single-quote the printed paths so $-vars / backticks in custom roots
+ # do not reparse when the user pastes the command.
+ $_actLiteral = "'" + ((Join-Path $VenvDir "Scripts\Activate.ps1") -replace "'", "''") + "'"
+ if ($StudioRedirectMode -eq 'env') {
+ # Env-mode skips registry PATH; print the absolute shim path.
+ $_shim = Join-Path $StudioHome "bin\unsloth.exe"
+ $_shimLiteral = "'" + ($_shim -replace "'", "''") + "'"
+ substep "& $_shimLiteral studio -p 8888"
+ substep "or activate env first:"
+ substep "& $_actLiteral"
+ substep "unsloth studio -p 8888"
+ } else {
+ substep "& $_actLiteral"
+ substep "unsloth studio -p 8888"
+ }
substep "(add -H 0.0.0.0 to allow network / cloud access)"
Write-Host ""
}
diff --git a/install.sh b/install.sh
index fc8bd27fb8..9046a9bdf6 100755
--- a/install.sh
+++ b/install.sh
@@ -6,6 +6,12 @@
# Usage (no-torch): ./install.sh --no-torch (skip PyTorch, GGUF-only mode)
# Usage (test): ./install.sh --package roland-sloth (install a different package name)
# Usage (py): ./install.sh --python 3.12 (override auto-detected Python version)
+#
+# Env vars (priority: UNSLOTH_STUDIO_HOME > STUDIO_HOME > HOME-redirect > default):
+# UNSLOTH_STUDIO_HOME=/abs/path -> install under that path
+# STUDIO_HOME=/abs/path -> alias, same effect (UNSLOTH_STUDIO_HOME wins)
+# (DATA_DIR + unsloth CLI shim nest inside; no shell rc-file append.)
+# Default ($HOME/.unsloth/studio) is preserved when no env var is set.
set -e
# ── Output style (aligned with studio/setup.sh) ──
@@ -66,6 +72,56 @@ if [ "$_VERBOSE" = true ]; then
export UNSLOTH_VERBOSE=1
fi
+# Custom Studio roots are not supported with --tauri (desktop app still
+# resolves ~/.unsloth/studio). Pass through if the override == legacy default.
+if [ "$TAURI_MODE" = true ]; then
+ _tauri_override_var=""
+ _tauri_override="${UNSLOTH_STUDIO_HOME:-}"
+ if [ -n "$_tauri_override" ]; then
+ _tauri_override_var="UNSLOTH_STUDIO_HOME"
+ else
+ _tauri_override="${STUDIO_HOME:-}"
+ [ -n "$_tauri_override" ] && _tauri_override_var="STUDIO_HOME"
+ fi
+ # Strip whitespace so " " is treated as unset (matches Python .strip()).
+ _tauri_override=$(printf '%s' "$_tauri_override" | sed -e 's/^[[:space:]]*//' -e 's/[[:space:]]*$//')
+ if [ -n "$_tauri_override" ]; then
+ case "$_tauri_override" in
+ "~") _tauri_override="$HOME" ;;
+ "~/"*) _tauri_override="$HOME/${_tauri_override#'~/'}" ;;
+ esac
+ # Canonicalize both sides (CDPATH=, -P) so a CDPATH-set env or
+ # symlinked $HOME doesn't break the legacy-equality comparison.
+ if [ -d "$_tauri_override" ]; then
+ _tauri_override_abs=$(CDPATH= cd -P -- "$_tauri_override" 2>/dev/null && pwd -P) \
+ || _tauri_override_abs="$_tauri_override"
+ else
+ _tauri_override_abs="$_tauri_override"
+ fi
+ # Strip trailing separators so ".../studio/" matches ".../studio".
+ while [ "$_tauri_override_abs" != "/" ] \
+ && [ "${_tauri_override_abs%/}" != "$_tauri_override_abs" ]; do
+ _tauri_override_abs=${_tauri_override_abs%/}
+ done
+ _tauri_legacy_root="$HOME/.unsloth/studio"
+ if [ -d "$_tauri_legacy_root" ]; then
+ _tauri_legacy_root=$(CDPATH= cd -P -- "$_tauri_legacy_root" 2>/dev/null && pwd -P) \
+ || _tauri_legacy_root="$HOME/.unsloth/studio"
+ fi
+ while [ "$_tauri_legacy_root" != "/" ] \
+ && [ "${_tauri_legacy_root%/}" != "$_tauri_legacy_root" ]; do
+ _tauri_legacy_root=${_tauri_legacy_root%/}
+ done
+ if [ "$_tauri_override_abs" != "$_tauri_legacy_root" ]; then
+ echo "ERROR: $_tauri_override_var is not supported with --tauri." >&2
+ echo " The desktop app still uses the legacy ~/.unsloth/studio root." >&2
+ echo " Run install.sh without --tauri for custom-root shell installs," >&2
+ echo " or unset the env var for default desktop installs." >&2
+ exit 1
+ fi
+ fi
+fi
+
_is_verbose() {
[ "${UNSLOTH_VERBOSE:-0}" = "1" ]
}
@@ -219,7 +275,67 @@ _tauri_gpu_branch() {
}
PYTHON_VERSION="" # resolved after platform detection
-STUDIO_HOME="$HOME/.unsloth/studio"
+
+# Resolve install destinations: env override, HOME-redirect (best-effort
+# via getent/dscl), or default. Env-var priority: UNSLOTH_STUDIO_HOME wins
+# over STUDIO_HOME (the more specific signal beats the generic alias).
+_resolve_studio_destinations() {
+ _override_var=""
+ _override="${UNSLOTH_STUDIO_HOME:-}"
+ if [ -n "$_override" ]; then
+ _override_var="UNSLOTH_STUDIO_HOME"
+ else
+ _override="${STUDIO_HOME:-}"
+ [ -n "$_override" ] && _override_var="STUDIO_HOME"
+ fi
+ # Strip surrounding whitespace so " " is treated as unset (matches the
+ # Python resolvers' .strip()), preventing install/runtime layout drift.
+ _override=$(printf '%s' "$_override" | sed -e 's/^[[:space:]]*//' -e 's/[[:space:]]*$//')
+ # Tilde expansion: env vars are not subject to it when quoted on assignment.
+ case "$_override" in
+ "~") _override="$HOME" ;;
+ "~/"*) _override="$HOME/${_override#'~/'}" ;;
+ esac
+ if [ -n "$_override" ]; then
+ mkdir -p -- "$_override" 2>/dev/null || { echo "ERROR: $_override_var=$_override cannot be created." >&2; exit 1; }
+ [ -w "$_override" ] || { echo "ERROR: $_override_var=$_override is not writable." >&2; exit 1; }
+ STUDIO_HOME="$(CDPATH= cd -P -- "$_override" && pwd -P)" || exit 1
+ DATA_DIR="$STUDIO_HOME/share"
+ _LOCAL_BIN="$STUDIO_HOME/bin"
+ _STUDIO_HOME_REDIRECT=env
+ substep "custom $_override_var=$STUDIO_HOME"
+ return 0
+ fi
+ _default_home=""
+ if command -v getent >/dev/null 2>&1; then
+ _default_home=$(getent passwd "${USER:-$(whoami)}" 2>/dev/null | cut -d: -f6)
+ elif [ "$(uname)" = "Darwin" ] && command -v dscl >/dev/null 2>&1; then
+ _default_home=$(dscl . -read "/Users/${USER:-$(whoami)}" NFSHomeDirectory 2>/dev/null | awk '{print $2}')
+ fi
+ # Canonicalize both sides so a trailing slash on $HOME (or symlink mismatch
+ # with passwd-DB output) doesn't misfire the redirection branch.
+ _home_canon="$HOME"
+ if [ -d "$_home_canon" ]; then
+ _home_canon=$(CDPATH= cd -P -- "$_home_canon" 2>/dev/null && pwd -P) || _home_canon="$HOME"
+ fi
+ _default_home_canon="$_default_home"
+ if [ -n "$_default_home_canon" ] && [ -d "$_default_home_canon" ]; then
+ _default_home_canon=$(CDPATH= cd -P -- "$_default_home_canon" 2>/dev/null && pwd -P) || _default_home_canon="$_default_home"
+ fi
+ if [ -n "$_default_home_canon" ] && [ "$_home_canon" != "$_default_home_canon" ]; then
+ STUDIO_HOME="$HOME/.unsloth/studio"
+ DATA_DIR="$HOME/.local/share/unsloth"
+ _LOCAL_BIN="$HOME/.local/bin"
+ _STUDIO_HOME_REDIRECT=home
+ substep "HOME redirected ($HOME); install follows \$HOME"
+ return 0
+ fi
+ STUDIO_HOME="$HOME/.unsloth/studio"
+ DATA_DIR="$HOME/.local/share/unsloth"
+ _LOCAL_BIN="$HOME/.local/bin"
+ _STUDIO_HOME_REDIRECT=default
+}
+_resolve_studio_destinations
VENV_DIR="$STUDIO_HOME/unsloth_studio"
_VENV_ROLLBACK_DIR=""
_VENV_ROLLBACK_TARGET="$VENV_DIR"
@@ -383,23 +499,65 @@ create_studio_shortcuts() {
_css_exe_dir=$(cd "$(dirname "$_css_exe")" && pwd)
_css_exe="$_css_exe_dir/$(basename "$_css_exe")"
- _css_data_dir="$HOME/.local/share/unsloth"
+ _css_data_dir="$DATA_DIR"
_css_launcher="$_css_data_dir/launch-studio.sh"
_css_icon_png="$_css_data_dir/unsloth-studio.png"
_css_gem_png="$_css_data_dir/unsloth-gem.png"
mkdir -p "$_css_data_dir"
+ # Same-install discriminator: per-install opaque id written once at install
+ # time and read by both this launcher and the backend (/api/health). Replaces
+ # the older sha256(canonical $STUDIO_HOME) scheme to (a) avoid leaking the
+ # install path on -H 0.0.0.0 deployments and (b) sidestep launcher/backend
+ # canonicalization drift (cd -P vs Path.resolve() symlink/junction handling).
+ # Lives at $STUDIO_HOME/share/ (not $DATA_DIR) so the backend can find it
+ # via _STUDIO_ROOT_RESOLVED / "share" / "studio_install_id" regardless of
+ # mode (in env-mode $STUDIO_HOME/share == $DATA_DIR; in default mode they
+ # diverge but the backend only knows the studio_root). 32 bytes of urandom
+ # -> 64 hex chars, byte-compatible with the prior digest so launcher
+ # placeholder, _check_health, and tests stay length-agnostic.
+ _css_id_dir="$STUDIO_HOME/share"
+ mkdir -p "$_css_id_dir"
+ _css_id_file="$_css_id_dir/studio_install_id"
+ if [ ! -s "$_css_id_file" ]; then
+ if [ -r /dev/urandom ]; then
+ _css_new_id=$(od -An -N32 -tx1 /dev/urandom 2>/dev/null | tr -d ' \n')
+ fi
+ if [ -z "${_css_new_id:-}" ] && command -v python3 >/dev/null 2>&1; then
+ _css_new_id=$(python3 -c 'import secrets; print(secrets.token_hex(32))' 2>/dev/null)
+ fi
+ if [ -z "${_css_new_id:-}" ]; then
+ echo "[WARN] Cannot create launcher: no entropy source for studio_install_id" >&2
+ return 1
+ fi
+ # Atomic write so a partial install can't leave a half-written id.
+ _css_id_tmp="$_css_id_file.$$.tmp"
+ printf '%s' "$_css_new_id" > "$_css_id_tmp" \
+ && mv "$_css_id_tmp" "$_css_id_file"
+ chmod 600 "$_css_id_file" 2>/dev/null || true
+ unset _css_new_id _css_id_tmp
+ fi
+ _css_studio_root_id=$(cat "$_css_id_file" 2>/dev/null)
+ if [ -z "$_css_studio_root_id" ]; then
+ echo "[WARN] Cannot create launcher: failed to read $_css_id_file" >&2
+ return 1
+ fi
+ _css_is_env_mode=false
+ [ "$_STUDIO_HOME_REDIRECT" = "env" ] && _css_is_env_mode=true
+
# ── Write launcher script ──
- # The launcher is Bash (not POSIX sh).
- # We write it with a placeholder and substitute the exe path via sed.
+ # Single-quoted heredoc; @@DATA_DIR@@, @@STUDIO_ROOT_ID@@, and
+ # @@INSTALLED_IS_ENV_MODE@@ are substituted via sed below.
cat > "$_css_launcher" << 'LAUNCHER_EOF'
#!/usr/bin/env bash
# Unsloth Studio Launcher
# Auto-generated by install.sh -- do not edit manually.
set -euo pipefail
-DATA_DIR="$HOME/.local/share/unsloth"
+DATA_DIR='@@DATA_DIR@@'
+_EXPECTED_STUDIO_ROOT_ID='@@STUDIO_ROOT_ID@@'
+_INSTALLED_IS_ENV_MODE='@@INSTALLED_IS_ENV_MODE@@'
# Read exe path from config written at install time.
# Sourcing is safe: the config file is written by install.sh, not user input.
@@ -416,7 +574,23 @@ MAX_PORT_OFFSET=20
TIMEOUT_SEC=60
POLL_INTERVAL_SEC=1
LOG_FILE="$DATA_DIR/studio.log"
+# why: in env-override mode multiple installs share an OS user; namespace the
+# lock and remember our own healthy port so we never attach to an unrelated
+# Studio listening on the global 8888..8908 range.
LOCK_DIR="${XDG_RUNTIME_DIR:-/tmp}/unsloth-studio-launcher-$(id -u).lock"
+PORT_FILE=""
+# why: gate on the install-time mode (baked above) instead of the runtime env
+# var; sourcing a custom-root studio.conf in shell must not flip a default-mode
+# launcher into env-mode behavior with stale state.
+if [ "$_INSTALLED_IS_ENV_MODE" = "true" ]; then
+ if command -v cksum >/dev/null 2>&1; then
+ _LOCK_KEY=$(printf '%s' "$DATA_DIR" | cksum | awk '{print $1}')
+ else
+ _LOCK_KEY=""
+ fi
+ [ -n "$_LOCK_KEY" ] && LOCK_DIR="${XDG_RUNTIME_DIR:-/tmp}/unsloth-studio-launcher-$(id -u)-${_LOCK_KEY}.lock"
+ PORT_FILE="$DATA_DIR/studio.port"
+fi
# ── HTTP GET helper (supports curl and wget) ──
_http_get() {
@@ -435,10 +609,20 @@ _check_health() {
_port=$1
_resp=$(_http_get "http://127.0.0.1:$_port/api/health") || return 1
case "$_resp" in
- *'"status"'*'"healthy"'*'"service"'*'"Unsloth UI Backend"'*) return 0 ;;
- *'"service"'*'"Unsloth UI Backend"'*'"status"'*'"healthy"'*) return 0 ;;
+ *'"status"'*'"healthy"'*'"service"'*'"Unsloth UI Backend"'*) ;;
+ *'"service"'*'"Unsloth UI Backend"'*'"status"'*'"healthy"'*) ;;
+ *) return 1 ;;
esac
- return 1
+ # why: verify the backend belongs to THIS install. Baked hex digest avoids
+ # JSON-escape mismatches on paths with `\`/`"` and avoids leaking the raw
+ # install path to unauthenticated callers.
+ if [ -n "$_EXPECTED_STUDIO_ROOT_ID" ]; then
+ case "$_resp" in
+ *"\"studio_root_id\":\"$_EXPECTED_STUDIO_ROOT_ID\""*|*"\"studio_root_id\": \"$_EXPECTED_STUDIO_ROOT_ID\""*) return 0 ;;
+ *) return 1 ;;
+ esac
+ fi
+ return 0
}
# ── Port scanning ──
@@ -461,6 +645,25 @@ _candidate_ports() {
}
_find_healthy_port() {
+ if [ -n "$PORT_FILE" ] && [ -f "$PORT_FILE" ]; then
+ # why: env-mode installs only attach to a port we previously launched
+ # ourselves; never to a sibling Studio that happens to be healthy.
+ _p=$(cat "$PORT_FILE" 2>/dev/null || true)
+ case "$_p" in
+ ''|*[!0-9]*) ;;
+ *)
+ if _check_health "$_p"; then
+ echo "$_p"
+ return 0
+ fi
+ rm -f "$PORT_FILE"
+ ;;
+ esac
+ return 1
+ fi
+ if [ -n "$PORT_FILE" ]; then
+ return 1
+ fi
for _p in $(_candidate_ports | sort -un); do
if _check_health "$_p"; then
echo "$_p"
@@ -611,6 +814,7 @@ if [ -t 1 ]; then
_obwr_deadline=$(($(date +%s) + TIMEOUT_SEC))
while [ "$(date +%s)" -lt "$_obwr_deadline" ]; do
if _check_health "$_launch_port"; then
+ [ -n "$PORT_FILE" ] && printf '%s\n' "$_launch_port" > "$PORT_FILE" 2>/dev/null || true
_release_lock
_open_browser "http://localhost:$_launch_port"
exit 0
@@ -634,6 +838,7 @@ else
_deadline=$(($(date +%s) + TIMEOUT_SEC))
while [ "$(date +%s)" -lt "$_deadline" ]; do
if _check_health "$_launch_port"; then
+ [ -n "$PORT_FILE" ] && printf '%s\n' "$_launch_port" > "$PORT_FILE" 2>/dev/null || true
_open_browser "http://localhost:$_launch_port"
exit 0
fi
@@ -646,13 +851,62 @@ else
fi
LAUNCHER_EOF
+ # why: bake non-user-controlled placeholders FIRST so a literal
+ # `@@STUDIO_ROOT_ID@@` inside $DATA_DIR cannot be rewritten below.
+ sed -e "s|@@STUDIO_ROOT_ID@@|$_css_studio_root_id|g" \
+ -e "s|@@INSTALLED_IS_ENV_MODE@@|$_css_is_env_mode|g" \
+ "$_css_launcher" > "$_css_launcher.tmp" \
+ && mv "$_css_launcher.tmp" "$_css_launcher"
+
+ # Env-mode bakes an absolute DATA_DIR (root fixed at install time);
+ # default / HOME-redirect keeps the literal $HOME/.local/share/unsloth
+ # so behavior is byte-identical to pre-override.
+ if [ "$_STUDIO_HOME_REDIRECT" = "env" ]; then
+ # Two-stage escape: (1) `'` -> `'\''` for shell single-quote embedding,
+ # (2) backslash/&/| escape so the value survives the s|...|VALUE| sed
+ # below. Verified end-to-end with apostrophes, spaces, &, |, $.
+ _sq_escaped=$(printf '%s' "$DATA_DIR" | sed "s/'/'\\\\''/g")
+ _sed_safe=$(printf '%s' "$_sq_escaped" | sed 's/[\\&|]/\\&/g')
+ sed "s|@@DATA_DIR@@|$_sed_safe|g" "$_css_launcher" > "$_css_launcher.tmp" \
+ && mv "$_css_launcher.tmp" "$_css_launcher"
+ else
+ sed "s|DATA_DIR='@@DATA_DIR@@'|DATA_DIR=\"\$HOME/.local/share/unsloth\"|" \
+ "$_css_launcher" > "$_css_launcher.tmp" \
+ && mv "$_css_launcher.tmp" "$_css_launcher"
+ fi
+
chmod +x "$_css_launcher"
- # Write the exe path to a separate conf file sourced by the launcher.
- # Using single-quote wrapping with the standard '\'' escape for any
- # embedded apostrophes. This avoids all sed metacharacter issues.
+ # studio.conf: exe path + (env-mode only) persisted env vars so fresh
+ # shells launch the right install without re-exporting.
_css_quoted_exe=$(printf '%s' "$_css_exe" | sed "s/'/'\\\\''/g")
- printf '%s\n' "UNSLOTH_EXE='$_css_quoted_exe'" > "$_css_data_dir/studio.conf"
+ {
+ printf '%s\n' "UNSLOTH_EXE='$_css_quoted_exe'"
+ if [ "$_STUDIO_HOME_REDIRECT" = "env" ]; then
+ # When an override resolves to the legacy default, llama.cpp
+ # still lives at ~/.unsloth/llama.cpp (one shared build).
+ # Canonicalize the legacy side so a symlinked $HOME doesn't
+ # break the comparison.
+ _css_legacy_studio="$HOME/.unsloth/studio"
+ if [ -d "$_css_legacy_studio" ]; then
+ _css_legacy_studio=$(CDPATH= cd -P -- "$_css_legacy_studio" 2>/dev/null && pwd -P) \
+ || _css_legacy_studio="$HOME/.unsloth/studio"
+ fi
+ if [ "$STUDIO_HOME" = "$_css_legacy_studio" ]; then
+ _css_llama_path="$HOME/.unsloth/llama.cpp"
+ else
+ _css_llama_path="$STUDIO_HOME/llama.cpp"
+ fi
+ _css_quoted_home=$(printf '%s' "$STUDIO_HOME" | sed "s/'/'\\\\''/g")
+ _css_quoted_llama=$(printf '%s' "$_css_llama_path" | sed "s/'/'\\\\''/g")
+ printf '%s\n' "export UNSLOTH_STUDIO_HOME='$_css_quoted_home'"
+ # UNSLOTH_LLAMA_CPP_PATH is a pre-existing user-controlled
+ # llama.cpp dir override; only default it if unset.
+ printf '%s\n' 'if [ -z "${UNSLOTH_LLAMA_CPP_PATH:-}" ]; then'
+ printf '%s\n' " export UNSLOTH_LLAMA_CPP_PATH='$_css_quoted_llama'"
+ printf '%s\n' 'fi'
+ fi
+ } > "$_css_data_dir/studio.conf"
# ── Icon: try bundled, then download ──
# rounded-512.png used for both Linux and macOS icons
@@ -698,6 +952,14 @@ LAUNCHER_EOF
fi
# ── Platform-specific shortcuts ──
+ # Env-mode installs are workspace-scoped: skip persistent desktop /
+ # Start-Menu / dock launchers that may point at a deleted workspace.
+ # Runtime launcher + studio.conf + icon are still written above.
+ if [ "$_STUDIO_HOME_REDIRECT" = "env" ]; then
+ substep "wrote launcher at $_css_launcher (persistent shortcuts skipped in env-override mode)"
+ return 0
+ fi
+
_css_created=0
if [ "$_css_os" = "linux" ]; then
@@ -775,11 +1037,18 @@ DESKTOP_EOF
PLIST_EOF
- # Executable stub
- cat > "$_css_macos_dir/launch-studio" << STUB_EOF
+ # Executable stub: same single-quoted-heredoc + sed-substitute
+ # pattern as launch-studio.sh so $-vars in $_css_data_dir don't
+ # expand at .app launch time.
+ _css_sq_dir=$(printf '%s' "$_css_data_dir" | sed "s/'/'\\\\''/g")
+ _css_sed_dir=$(printf '%s' "$_css_sq_dir" | sed 's/[\\&|]/\\&/g')
+ cat > "$_css_macos_dir/launch-studio" << 'STUB_EOF'
#!/bin/sh
-exec "$HOME/.local/share/unsloth/launch-studio.sh" "\$@"
+exec '@@DATA_DIR@@/launch-studio.sh' "$@"
STUB_EOF
+ sed "s|@@DATA_DIR@@|$_css_sed_dir|g" "$_css_macos_dir/launch-studio" \
+ > "$_css_macos_dir/launch-studio.tmp" \
+ && mv "$_css_macos_dir/launch-studio.tmp" "$_css_macos_dir/launch-studio"
chmod +x "$_css_macos_dir/launch-studio"
# Build AppIcon.icns from unsloth-gem.png (2240x2240)
@@ -1079,11 +1348,28 @@ mkdir -p "$STUDIO_HOME"
_MIGRATED=false
if [ -x "$VENV_DIR/bin/python" ]; then
+ # why: matching guard to the .venv branch below -- in env-mode
+ # $STUDIO_HOME is a user-chosen workspace, so refuse to nuke an
+ # existing $STUDIO_HOME/unsloth_studio that lacks Studio sentinels.
+ # Accept the in-VENV ownership marker so partial-install retries are
+ # not blocked. Sentinels must be regular files: -f follows symlinks
+ # to files (the legitimate ln -s shim shape) but rejects directories
+ # and broken/dir-targeted symlinks.
+ if [ "$_STUDIO_HOME_REDIRECT" = "env" ] \
+ && [ ! -f "$VENV_DIR/.unsloth-studio-owned" ] \
+ && [ ! -f "$STUDIO_HOME/share/studio.conf" ] \
+ && [ ! -f "$STUDIO_HOME/bin/unsloth" ]; then
+ echo "ERROR: $VENV_DIR already exists but does not look like an Unsloth Studio install." >&2
+ echo " Move it aside or choose an empty UNSLOTH_STUDIO_HOME." >&2
+ exit 1
+ fi
# New layout already exists — replace only after preserving rollback copy.
substep "preserving existing environment for rollback..."
_start_studio_venv_replacement "$VENV_DIR"
-elif [ -x "$STUDIO_HOME/.venv/bin/python" ]; then
+elif [ "$_STUDIO_HOME_REDIRECT" != "env" ] && [ -x "$STUDIO_HOME/.venv/bin/python" ]; then
# Old layout exists — validate before migrating.
+ # Skip in env-mode so we don't rm -rf an unrelated .venv at the
+ # workspace root (e.g. user's existing project Python venv).
# In no-torch mode, a missing torch package is expected; validate Python only.
substep "found legacy Studio environment, validating..."
_legacy_ok=false
@@ -1132,6 +1418,13 @@ if [ ! -x "$VENV_DIR/bin/python" ]; then
run_install_cmd "create venv" uv venv "$VENV_DIR" --python "$PYTHON_VERSION"
fi
+# Mark the freshly-created venv as Studio-owned so a partial install can be
+# repaired by re-running install.sh; the env-mode deletion guard above accepts
+# this marker as the primary sentinel.
+if [ -x "$VENV_DIR/bin/python" ]; then
+ : > "$VENV_DIR/.unsloth-studio-owned" 2>/dev/null || true
+fi
+
# Guard against Python 3.13.8 torch import bug on Apple Silicon
# (skip when the user explicitly chose a version via --python)
if [ -z "$_USER_PYTHON" ] && [ "$OS" = "macos" ] && [ "$_ARCH" = "arm64" ]; then
@@ -1143,6 +1436,9 @@ if [ -z "$_USER_PYTHON" ] && [ "$OS" = "macos" ] && [ "$_ARCH" = "arm64" ]; then
rm -rf "$VENV_DIR"
PYTHON_VERSION="3.12"
run_install_cmd "recreate venv" uv venv "$VENV_DIR" --python "$PYTHON_VERSION"
+ if [ -x "$VENV_DIR/bin/python" ]; then
+ : > "$VENV_DIR/.unsloth-studio-owned" 2>/dev/null || true
+ fi
fi
fi
@@ -1486,7 +1782,7 @@ if [ "$_MIGRATED" = true ]; then
# to prevent transitive torch resolution.
run_install_cmd "install unsloth (migrated no-torch)" uv pip install --python "$_VENV_PY" --no-deps \
--reinstall-package unsloth --reinstall-package unsloth-zoo \
- "unsloth>=2026.5.1" unsloth-zoo
+ "unsloth>=2026.5.2" unsloth-zoo
_NO_TORCH_RT="$(_find_no_torch_runtime)"
if [ -n "$_NO_TORCH_RT" ]; then
run_install_cmd "install no-torch runtime deps" uv pip install --python "$_VENV_PY" --no-deps -r "$_NO_TORCH_RT"
@@ -1494,7 +1790,7 @@ if [ "$_MIGRATED" = true ]; then
else
run_install_cmd "install unsloth (migrated)" uv pip install --python "$_VENV_PY" \
--reinstall-package unsloth --reinstall-package unsloth-zoo \
- "unsloth>=2026.5.1" unsloth-zoo
+ "unsloth>=2026.5.2" unsloth-zoo
fi
if [ "$STUDIO_LOCAL_INSTALL" = true ]; then
substep "overlaying local repo (editable)..."
@@ -1662,7 +1958,7 @@ elif [ -n "$TORCH_INDEX_URL" ]; then
# runtime deps (typer, safetensors, transformers, etc.) with --no-deps.
run_install_cmd "install unsloth (no-torch)" uv pip install --python "$_VENV_PY" --no-deps \
--upgrade-package unsloth --upgrade-package unsloth-zoo \
- "unsloth>=2026.5.1" unsloth-zoo
+ "unsloth>=2026.5.2" unsloth-zoo
_NO_TORCH_RT="$(_find_no_torch_runtime)"
if [ -n "$_NO_TORCH_RT" ]; then
run_install_cmd "install no-torch runtime deps" uv pip install --python "$_VENV_PY" --no-deps -r "$_NO_TORCH_RT"
@@ -1677,7 +1973,7 @@ elif [ -n "$TORCH_INDEX_URL" ]; then
fi
elif [ "$STUDIO_LOCAL_INSTALL" = true ]; then
run_install_cmd "install unsloth (local)" uv pip install --python "$_VENV_PY" \
- --upgrade-package unsloth "unsloth>=2026.5.1" unsloth-zoo
+ --upgrade-package unsloth "unsloth>=2026.5.2" unsloth-zoo
substep "overlaying local repo (editable)..."
run_install_cmd "overlay local repo" uv pip install --python "$_VENV_PY" -e "$_REPO_ROOT" --no-deps
substep "overlaying unsloth-zoo from git main..."
@@ -1709,7 +2005,7 @@ else
tauri_log "STEP" "Installing Unsloth"
substep "installing unsloth (this may take a few minutes)..."
if [ "$STUDIO_LOCAL_INSTALL" = true ]; then
- run_install_cmd "install unsloth (auto torch backend)" uv pip install --python "$_VENV_PY" unsloth-zoo "unsloth>=2026.5.1" --torch-backend=auto
+ run_install_cmd "install unsloth (auto torch backend)" uv pip install --python "$_VENV_PY" unsloth-zoo "unsloth>=2026.5.2" --torch-backend=auto
substep "overlaying local repo (editable)..."
run_install_cmd "overlay local repo" uv pip install --python "$_VENV_PY" -e "$_REPO_ROOT" --no-deps
substep "overlaying unsloth-zoo from git main..."
@@ -1721,6 +2017,12 @@ else
fi
fi
+# ── Install mlx-vlm on Apple Silicon (optional, for VLM training) ──
+if [ "$OS" = "macos" ] && [ "$_ARCH" = "arm64" ]; then
+ substep "installing mlx-vlm (VLM training support)..."
+ run_install_cmd "install mlx-vlm" uv pip install --python "$_VENV_PY" mlx-vlm
+fi
+
# ── Run studio setup ──
tauri_log "STEP" "Running Studio setup"
# When --local, use the repo's own setup.sh directly.
@@ -1768,7 +2070,17 @@ _SKIP_FRONTEND=0
if [ "$TAURI_MODE" = true ]; then
_SKIP_FRONTEND=1
fi
+# Prepend UNSLOTH_STUDIO_HOME=$STUDIO_HOME to "$@" for env-override installs
+# without word-splitting on whitespace paths.
+_run_setup_with_studio_home() {
+ if [ "$_STUDIO_HOME_REDIRECT" = "env" ]; then
+ UNSLOTH_STUDIO_HOME="$STUDIO_HOME" "$@"
+ else
+ "$@"
+ fi
+}
if [ "$STUDIO_LOCAL_INSTALL" = true ]; then
+ _run_setup_with_studio_home env \
SKIP_STUDIO_BASE="$_SKIP_BASE" \
SKIP_STUDIO_FRONTEND="$_SKIP_FRONTEND" \
STUDIO_PACKAGE_NAME="$PACKAGE_NAME" \
@@ -1782,6 +2094,7 @@ else
# the same session) does not silently flip a normal install onto the
# local-dev path in setup.sh and install_python_stack.py. Mirrors the
# reset already done in install.ps1 for PowerShell.
+ _run_setup_with_studio_home env \
SKIP_STUDIO_BASE="$_SKIP_BASE" \
SKIP_STUDIO_FRONTEND="$_SKIP_FRONTEND" \
STUDIO_PACKAGE_NAME="$PACKAGE_NAME" \
@@ -1791,36 +2104,53 @@ else
bash "$SETUP_SH" &2
+ echo " Move or remove it manually, then re-run the installer." >&2
+ exit 1
+fi
+# why: -sfn is atomic and -n prevents descent into a symlink-to-directory at
+# the shim path (the directory guard above already rejects a real directory).
+ln -sfn "$VENV_DIR/bin/unsloth" "$_shim_path"
-_LOCAL_BIN="$HOME/.local/bin"
case ":$PATH:" in
*":$_LOCAL_BIN:"*) ;; # already on PATH
*)
- _SHELL_PROFILE=""
- if [ -n "${ZSH_VERSION:-}" ] || [ "$(basename "${SHELL:-}")" = "zsh" ]; then
- _SHELL_PROFILE="$HOME/.zshrc"
- elif [ -f "$HOME/.bashrc" ]; then
- _SHELL_PROFILE="$HOME/.bashrc"
- elif [ -f "$HOME/.profile" ]; then
- _SHELL_PROFILE="$HOME/.profile"
- fi
-
- if [ -n "$_SHELL_PROFILE" ]; then
- if ! grep -q '\.local/bin' "$_SHELL_PROFILE" 2>/dev/null; then
- echo '' >> "$_SHELL_PROFILE"
- echo '# Added by Unsloth installer' >> "$_SHELL_PROFILE"
- echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$_SHELL_PROFILE"
- step "path" "added ~/.local/bin to PATH in $_SHELL_PROFILE"
+ if [ "$_STUDIO_HOME_REDIRECT" = "env" ]; then
+ export PATH="$_LOCAL_BIN:$PATH"
+ step "path" "exported $_LOCAL_BIN for this session (no rc-file append in env-override mode)"
+ else
+ _SHELL_PROFILE=""
+ if [ -n "${ZSH_VERSION:-}" ] || [ "$(basename "${SHELL:-}")" = "zsh" ]; then
+ _SHELL_PROFILE="$HOME/.zshrc"
+ elif [ -f "$HOME/.bashrc" ]; then
+ _SHELL_PROFILE="$HOME/.bashrc"
+ elif [ -f "$HOME/.profile" ]; then
+ _SHELL_PROFILE="$HOME/.profile"
fi
+ if [ -n "$_SHELL_PROFILE" ]; then
+ if ! grep -q '\.local/bin' "$_SHELL_PROFILE" 2>/dev/null; then
+ echo '' >> "$_SHELL_PROFILE"
+ echo '# Added by Unsloth installer' >> "$_SHELL_PROFILE"
+ echo 'export PATH="$HOME/.local/bin:$PATH"' >> "$_SHELL_PROFILE"
+ step "path" "added ~/.local/bin to PATH in $_SHELL_PROFILE"
+ fi
+ fi
+ export PATH="$_LOCAL_BIN:$PATH"
fi
- export PATH="$_LOCAL_BIN:$PATH"
;;
esac
# Non-Tauri installs keep shortcuts even if setup reports failure.
+# create_studio_shortcuts gates persistent menu shortcuts on env-mode;
+# launcher + studio.conf + icon are always written.
if [ "$TAURI_MODE" != true ]; then
create_studio_shortcuts "$VENV_ABS_BIN/unsloth" "$OS"
fi
@@ -1883,10 +2213,21 @@ if [ -t 1 ]; then
esac
else
step "launch" "manual commands:"
- substep "unsloth studio -p 8888"
- substep "or activate env first:"
- substep "source ${VENV_DIR}/bin/activate"
- substep "unsloth studio -p 8888"
+ # Single-quote-escape so paths with spaces / apostrophes copy-paste cleanly.
+ _li_shim_q="'$(printf '%s' "${_LOCAL_BIN}/unsloth" | sed "s/'/'\\\\''/g")'"
+ _li_act_q="'$(printf '%s' "${VENV_DIR}/bin/activate" | sed "s/'/'\\\\''/g")'"
+ if [ "$_STUDIO_HOME_REDIRECT" = "env" ]; then
+ # Env-mode skips the rc PATH append, so print the absolute shim path.
+ substep "$_li_shim_q studio -p 8888"
+ substep "or activate env first:"
+ substep "source $_li_act_q"
+ substep "unsloth studio -p 8888"
+ else
+ substep "unsloth studio -p 8888"
+ substep "or activate env first:"
+ substep "source $_li_act_q"
+ substep "unsloth studio -p 8888"
+ fi
substep "(add -H 0.0.0.0 to allow network / cloud access)"
echo ""
fi
diff --git a/pyproject.toml b/pyproject.toml
index c2f884e192..5687ea12f8 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -89,7 +89,7 @@ huggingfacenotorch = [
]
huggingface = [
"unsloth[huggingfacenotorch]",
- "unsloth_zoo>=2026.5.1",
+ "unsloth_zoo>=2026.4.8",
"torchvision",
"unsloth[triton]",
]
@@ -579,7 +579,7 @@ colab-ampere-torch220 = [
"flash-attn>=2.6.3 ; ('linux' in sys_platform)",
]
colab-new = [
- "unsloth_zoo>=2026.5.1",
+ "unsloth_zoo>=2026.4.8",
"packaging",
"tyro",
"transformers>=4.51.3,!=4.52.0,!=4.52.1,!=4.52.2,!=4.52.3,!=4.53.0,!=4.54.0,!=4.55.0,!=4.55.1,!=4.57.0,!=4.57.4,!=4.57.5,!=5.0.0,!=5.1.0,<=5.5.0",
diff --git a/studio/backend/core/export/export.py b/studio/backend/core/export/export.py
index 6fee5a38f7..4ab95d896f 100644
--- a/studio/backend/core/export/export.py
+++ b/studio/backend/core/export/export.py
@@ -9,16 +9,14 @@ Export backend - handles model exporting in various formats
import glob
import json
import structlog
+import tempfile
from loggers import get_logger
import os
import shutil
from pathlib import Path
from typing import Optional, Tuple, List
-from peft import PeftModel, PeftModelForCausalLM
-from unsloth import FastLanguageModel, FastVisionModel
+from unsloth import FastLanguageModel, FastVisionModel, _IS_MLX
from huggingface_hub import HfApi, ModelCard
-from transformers.modeling_utils import PushToHubMixin
-import torch
from utils.hardware import clear_gpu_cache
from utils.models import is_vision_model, get_base_model_from_lora
@@ -26,6 +24,12 @@ from utils.models.model_config import detect_audio_type
from utils.paths import ensure_dir, outputs_root, resolve_export_dir, resolve_output_dir
from core.inference import get_inference_backend
+# GPU-only imports — guarded for Apple Silicon where these aren't needed
+if not _IS_MLX:
+ from peft import PeftModel, PeftModelForCausalLM
+ from transformers.modeling_utils import PushToHubMixin
+ import torch
+
logger = get_logger(__name__)
_LLAMA_CPP_SCRIPTS_WARNING_EMITTED = False
@@ -225,7 +229,7 @@ class ExportBackend:
model, tokenizer = FastModel.from_pretrained(
model_name = checkpoint_path,
max_seq_length = max_seq_length,
- dtype = torch.float32,
+ dtype = None if _IS_MLX else torch.float32,
load_in_4bit = False,
trust_remote_code = trust_remote_code,
)
@@ -262,8 +266,12 @@ class ExportBackend:
trust_remote_code = trust_remote_code,
)
- # Check if PEFT model
- self.is_peft = isinstance(model, (PeftModel, PeftModelForCausalLM))
+ # Check if PEFT / LoRA model
+ if _IS_MLX:
+ # MLX doesn't use PeftModel — detect LoRA via adapter_config.json
+ self.is_peft = adapter_config.exists()
+ else:
+ self.is_peft = isinstance(model, (PeftModel, PeftModelForCausalLM))
# Store loaded model
self.current_model = model
@@ -325,9 +333,7 @@ class ExportBackend:
private: Whether to make the repo private
Returns:
- Tuple of (success, message, output_path). output_path is the
- resolved absolute on-disk directory of the saved model when
- ``save_directory`` was set, else None.
+ Tuple of (success: bool, message: str, output_path: Optional[str])
"""
if not self.current_model or not self.current_tokenizer:
return False, "No model loaded. Please select a checkpoint first.", None
@@ -341,14 +347,17 @@ class ExportBackend:
output_path: Optional[str] = None
try:
- # Determine save method
- if format_type == "4-bit (FP4)":
- save_method = "merged_4bit_forced"
- elif self._audio_type == "whisper":
- # Whisper uses save_method=None for local 16-bit merged save
- save_method = None
- else: # 16-bit (FP16)
- save_method = "merged_16bit"
+ if _IS_MLX:
+ mlx_save_method = (
+ "merged_4bit" if format_type == "4-bit (FP4)" else "merged_16bit"
+ )
+ else:
+ if format_type == "4-bit (FP4)":
+ save_method = "merged_4bit_forced"
+ elif self._audio_type == "whisper":
+ save_method = None
+ else:
+ save_method = "merged_16bit"
# Save locally if requested
if save_directory:
@@ -356,11 +365,17 @@ class ExportBackend:
logger.info(f"Saving merged model locally to: {save_directory}")
ensure_dir(Path(save_directory))
- self.current_model.save_pretrained_merged(
- save_directory, self.current_tokenizer, save_method = save_method
- )
+ if _IS_MLX:
+ self.current_model.save_pretrained_merged(
+ save_directory,
+ self.current_tokenizer,
+ save_method = mlx_save_method,
+ )
+ else:
+ self.current_model.save_pretrained_merged(
+ save_directory, self.current_tokenizer, save_method = save_method
+ )
- # Write export metadata so the Chat page can identify the base model
self._write_export_metadata(save_directory)
logger.info(f"Model saved successfully to {save_directory}")
output_path = str(Path(save_directory).resolve())
@@ -376,17 +391,40 @@ class ExportBackend:
logger.info(f"Pushing merged model to Hub: {repo_id}")
- # Whisper uses save_method=None for local but "merged_16bit" for hub push
- hub_save_method = (
- save_method if save_method is not None else "merged_16bit"
- )
- self.current_model.push_to_hub_merged(
- repo_id,
- self.current_tokenizer,
- save_method = hub_save_method,
- token = hf_token,
- private = private,
- )
+ if _IS_MLX:
+ if save_directory:
+ self.current_model.push_to_hub_merged(
+ repo_id,
+ self.current_tokenizer,
+ save_directory = save_directory,
+ token = hf_token,
+ private = private,
+ )
+ else:
+ with tempfile.TemporaryDirectory() as tmp_dir:
+ self.current_model.save_pretrained_merged(
+ tmp_dir,
+ self.current_tokenizer,
+ save_method = mlx_save_method,
+ )
+ self.current_model.push_to_hub_merged(
+ repo_id,
+ self.current_tokenizer,
+ save_directory = tmp_dir,
+ token = hf_token,
+ private = private,
+ )
+ else:
+ hub_save_method = (
+ save_method if save_method is not None else "merged_16bit"
+ )
+ self.current_model.push_to_hub_merged(
+ repo_id,
+ self.current_tokenizer,
+ save_method = hub_save_method,
+ token = hf_token,
+ private = private,
+ )
logger.info(f"Model pushed successfully to {repo_id}")
return True, "Model exported successfully", output_path
@@ -411,9 +449,7 @@ class ExportBackend:
Export base model (for non-PEFT models).
Returns:
- Tuple of (success, message, output_path). output_path is the
- resolved absolute on-disk directory of the saved model when
- ``save_directory`` was set, else None.
+ Tuple of (success: bool, message: str, output_path: Optional[str])
"""
if not self.current_model or not self.current_tokenizer:
return False, "No model loaded. Please select a checkpoint first.", None
@@ -433,8 +469,16 @@ class ExportBackend:
logger.info(f"Saving base model locally to: {save_directory}")
ensure_dir(Path(save_directory))
- self.current_model.save_pretrained(save_directory)
- self.current_tokenizer.save_pretrained(save_directory)
+ if _IS_MLX:
+ # MLX: save_pretrained_merged handles non-LoRA models too
+ # (fuse() is a no-op when there are no LoRA layers)
+ self.current_model.save_pretrained_merged(
+ save_directory,
+ self.current_tokenizer,
+ )
+ else:
+ self.current_model.save_pretrained(save_directory)
+ self.current_tokenizer.save_pretrained(save_directory)
# Write export metadata so the Chat page can identify the base model
self._write_export_metadata(save_directory)
@@ -452,44 +496,73 @@ class ExportBackend:
logger.info(f"Pushing base model to Hub: {repo_id}")
- # Get base model name from request or model config
- base_model = (
- base_model_id
- or self.current_model.config._name_or_path
- or "unknown"
- )
-
- # Create repo
- hf_api = HfApi(token = hf_token)
- repo_id = PushToHubMixin._create_repo(
- PushToHubMixin,
- repo_id = repo_id,
- private = private,
- token = hf_token,
- )
- username = repo_id.split("/")[0]
-
- # Create and push model card
- content = MODEL_CARD.format(
- username = username,
- base_model = base_model,
- model_type = self.current_model.config.model_type,
- method = "",
- extra = "unsloth",
- )
- card = ModelCard(content)
- card.push_to_hub(
- repo_id, token = hf_token, commit_message = "Unsloth Model Card"
- )
-
- # Upload model files
- if save_directory:
- hf_api.upload_folder(
- folder_path = save_directory, repo_id = repo_id, repo_type = "model"
- )
- logger.info(f"Model pushed successfully to {repo_id}")
+ if _IS_MLX:
+ if save_directory:
+ self.current_model.push_to_hub_merged(
+ repo_id,
+ self.current_tokenizer,
+ save_directory = save_directory,
+ token = hf_token,
+ private = private,
+ )
+ else:
+ with tempfile.TemporaryDirectory() as tmp_dir:
+ self.current_model.save_pretrained_merged(
+ tmp_dir,
+ self.current_tokenizer,
+ )
+ self.current_model.push_to_hub_merged(
+ repo_id,
+ self.current_tokenizer,
+ save_directory = tmp_dir,
+ token = hf_token,
+ private = private,
+ )
else:
- return False, "Local save directory required for Hub upload", None
+ # Get base model name from request or model config
+ base_model = (
+ base_model_id
+ or self.current_model.config._name_or_path
+ or "unknown"
+ )
+
+ # Create repo
+ hf_api = HfApi(token = hf_token)
+ repo_id = PushToHubMixin._create_repo(
+ PushToHubMixin,
+ repo_id = repo_id,
+ private = private,
+ token = hf_token,
+ )
+ username = repo_id.split("/")[0]
+
+ # Create and push model card
+ content = MODEL_CARD.format(
+ username = username,
+ base_model = base_model,
+ model_type = self.current_model.config.model_type,
+ method = "",
+ extra = "unsloth",
+ )
+ card = ModelCard(content)
+ card.push_to_hub(
+ repo_id, token = hf_token, commit_message = "Unsloth Model Card"
+ )
+
+ # Upload model files
+ if save_directory:
+ hf_api.upload_folder(
+ folder_path = save_directory,
+ repo_id = repo_id,
+ repo_type = "model",
+ )
+ logger.info(f"Model pushed successfully to {repo_id}")
+ else:
+ return (
+ False,
+ "Local save directory required for Hub upload",
+ None,
+ )
return True, "Model exported successfully", output_path
@@ -519,9 +592,7 @@ class ExportBackend:
hf_token: Hugging Face token
Returns:
- Tuple of (success, message, output_path). output_path is the
- resolved absolute on-disk directory containing the .gguf
- files when ``save_directory`` was set, else None.
+ Tuple of (success: bool, message: str, output_path: Optional[str])
"""
if not self.current_model or not self.current_tokenizer:
return False, "No model loaded. Please select a checkpoint first.", None
@@ -692,9 +763,7 @@ class ExportBackend:
Export LoRA adapter only (not merged).
Returns:
- Tuple of (success, message, output_path). output_path is the
- resolved absolute on-disk directory of the saved adapter
- when ``save_directory`` was set, else None.
+ Tuple of (success: bool, message: str, output_path: Optional[str])
"""
if not self.current_model or not self.current_tokenizer:
return False, "No model loaded. Please select a checkpoint first.", None
@@ -710,8 +779,13 @@ class ExportBackend:
logger.info(f"Saving LoRA adapter locally to: {save_directory}")
ensure_dir(Path(save_directory))
- self.current_model.save_pretrained(save_directory)
- self.current_tokenizer.save_pretrained(save_directory)
+ if _IS_MLX:
+ # MLX: save adapters.safetensors + tokenizer files
+ self.current_model.save_lora_adapters(save_directory)
+ self.current_tokenizer.save_pretrained(save_directory)
+ else:
+ self.current_model.save_pretrained(save_directory)
+ self.current_tokenizer.save_pretrained(save_directory)
logger.info(f"Adapter saved successfully to {save_directory}")
output_path = str(Path(save_directory).resolve())
@@ -726,10 +800,24 @@ class ExportBackend:
logger.info(f"Pushing LoRA adapter to Hub: {repo_id}")
- self.current_model.push_to_hub(repo_id, token = hf_token, private = private)
- self.current_tokenizer.push_to_hub(
- repo_id, token = hf_token, private = private
- )
+ if _IS_MLX:
+ with tempfile.TemporaryDirectory() as tmp_dir:
+ self.current_model.save_lora_adapters(tmp_dir)
+ self.current_tokenizer.save_pretrained(tmp_dir)
+ hf_api = HfApi(token = hf_token)
+ hf_api.create_repo(repo_id, private = private, exist_ok = True)
+ hf_api.upload_folder(
+ folder_path = tmp_dir,
+ repo_id = repo_id,
+ repo_type = "model",
+ )
+ else:
+ self.current_model.push_to_hub(
+ repo_id, token = hf_token, private = private
+ )
+ self.current_tokenizer.push_to_hub(
+ repo_id, token = hf_token, private = private
+ )
logger.info(f"Adapter pushed successfully to {repo_id}")
return True, "LoRA adapter exported successfully", output_path
diff --git a/studio/backend/core/inference/llama_cpp.py b/studio/backend/core/inference/llama_cpp.py
index f768764c22..8da836de38 100644
--- a/studio/backend/core/inference/llama_cpp.py
+++ b/studio/backend/core/inference/llama_cpp.py
@@ -732,22 +732,46 @@ class LlamaCppBackend:
if win_bin.is_file():
return str(win_bin)
- # 2–4. ~/.unsloth/llama.cpp (primary — setup.sh / setup.ps1 build here)
- unsloth_home = Path.home() / ".unsloth" / "llama.cpp"
- # Root dir (make builds copy binaries here)
- home_root = unsloth_home / binary_name
- if home_root.is_file():
- return str(home_root)
- # build/bin/ (cmake builds on Linux)
- home_linux = unsloth_home / "build" / "bin" / binary_name
- if home_linux.is_file():
- return str(home_linux)
+ # 2-4. Match installer layout: env-mode -> $STUDIO_HOME/llama.cpp;
+ # default/HOME-redirect -> ~/.unsloth/llama.cpp (sibling of studio).
+ legacy_llama = Path.home() / ".unsloth" / "llama.cpp"
+ try:
+ from utils.paths.storage_roots import studio_root as _sr # noqa: WPS433
- # 3. Windows MSVC build has Release subdir
- if sys.platform == "win32":
- home_win = unsloth_home / "build" / "bin" / "Release" / binary_name
- if home_win.is_file():
- return str(home_win)
+ _resolved_sr = _sr()
+ _legacy_studio = Path.home() / ".unsloth" / "studio"
+ try:
+ _is_legacy = _resolved_sr.resolve() == _legacy_studio.resolve()
+ except (OSError, ValueError):
+ _is_legacy = _resolved_sr == _legacy_studio
+ if _is_legacy:
+ search_roots = [legacy_llama]
+ else:
+ # why: _kill_orphaned_servers excludes the legacy root in custom
+ # mode; discovery must match so we never spawn a server we then
+ # refuse to clean up. UNSLOTH_LLAMA_CPP_PATH (handled earlier)
+ # is the explicit way to share a build across roots.
+ search_roots = [_resolved_sr / "llama.cpp"]
+ except (ImportError, OSError, ValueError):
+ search_roots = [legacy_llama]
+ _seen_roots: set[str] = set()
+ _unique_roots: list[Path] = []
+ for r in search_roots:
+ k = str(r)
+ if k not in _seen_roots:
+ _seen_roots.add(k)
+ _unique_roots.append(r)
+ for unsloth_home in _unique_roots:
+ home_root = unsloth_home / binary_name
+ if home_root.is_file():
+ return str(home_root)
+ home_linux = unsloth_home / "build" / "bin" / binary_name
+ if home_linux.is_file():
+ return str(home_linux)
+ if sys.platform == "win32":
+ home_win = unsloth_home / "build" / "bin" / "Release" / binary_name
+ if home_win.is_file():
+ return str(home_win)
# 5–6. Legacy: in-tree build (older setup.sh / setup.ps1 versions)
project_root = Path(__file__).resolve().parents[4]
@@ -2592,8 +2616,27 @@ class LlamaCppBackend:
# (binary must be *under* one of these)
install_roots: list[Path] = []
- # Primary install dir (setup.sh / prebuilt installer)
- install_roots.append(Path.home() / ".unsloth" / "llama.cpp")
+ # Env-mode custom root (mirrors _find_llama_server_binary).
+ _is_custom_root = False
+ try:
+ from utils.paths.storage_roots import studio_root as _sr # noqa: WPS433
+
+ _resolved_sr = _sr()
+ _legacy_studio = Path.home() / ".unsloth" / "studio"
+ try:
+ _is_custom_root = _resolved_sr.resolve() != _legacy_studio.resolve()
+ except (OSError, ValueError):
+ _is_custom_root = _resolved_sr != _legacy_studio
+ if _is_custom_root:
+ install_roots.append(_resolved_sr / "llama.cpp")
+ except (ImportError, OSError, ValueError):
+ pass
+
+ # Primary install dir (default mode only). Env-mode skips this so
+ # a custom-root Studio cannot kill a concurrent default-install
+ # Studio's llama-server (same OS user, different install).
+ if not _is_custom_root:
+ install_roots.append(Path.home() / ".unsloth" / "llama.cpp")
# Legacy in-tree build dirs (older setup.sh versions)
project_root = Path(__file__).resolve().parents[4]
diff --git a/studio/backend/core/inference/mlx_inference.py b/studio/backend/core/inference/mlx_inference.py
new file mode 100644
index 0000000000..1d2b03ecb9
--- /dev/null
+++ b/studio/backend/core/inference/mlx_inference.py
@@ -0,0 +1,395 @@
+# SPDX-License-Identifier: AGPL-3.0-only
+"""MLX inference backend for Apple Silicon.
+
+Drop-in replacement for InferenceBackend — same interface, uses mlx-lm/mlx-vlm
+instead of torch/transformers for model loading and generation.
+"""
+
+import threading
+from typing import Optional, Generator
+from loggers import get_logger
+
+logger = get_logger(__name__)
+
+
+class MLXInferenceBackend:
+ def __init__(self):
+ self.models = {}
+ self.active_model_name = None
+ self.loading_models = set()
+ self.loaded_local_models = []
+ self.device = "mlx"
+ self._generation_lock = threading.Lock()
+
+ # MLX state
+ self._model = None
+ self._tokenizer = None
+ self._processor = None
+ self._is_vlm = False
+ self._config = {}
+
+ # Recorded for unload to release pinned memory back to the OS.
+ self._memory_limits_applied = {}
+
+ def _configure_memory_limits(self):
+ """Apply Metal memory caps before loading a model.
+
+ Mirrors MLXTrainer._configure_memory_limits's defaults:
+ memory_limit = 85% of recommended working-set,
+ wired_limit = min(recommended, memory_limit). Recorded so unload
+ can lower wired_limit back to release pinned RAM.
+ """
+ import mlx.core as mx
+
+ if not mx.metal.is_available():
+ return
+ info = mx.device_info()
+ rec_bytes = info.get("max_recommended_working_set_size")
+ if not rec_bytes or rec_bytes <= 0:
+ return
+ rec_gb = rec_bytes / 1e9
+ memory_limit_gb = rec_gb * 0.85
+ wired_limit_gb = min(rec_gb, memory_limit_gb)
+ mx.set_memory_limit(int(memory_limit_gb * 1e9))
+ mx.set_wired_limit(int(wired_limit_gb * 1e9))
+ self._memory_limits_applied = {
+ "memory_limit_gb": memory_limit_gb,
+ "wired_limit_gb": wired_limit_gb,
+ "recommended_gb": rec_gb,
+ }
+ logger.info(
+ "MLX memory caps: memory_limit=%.2f GB, wired_limit=%.2f GB",
+ memory_limit_gb,
+ wired_limit_gb,
+ )
+
+ def load_model(
+ self,
+ config,
+ max_seq_length = 2048,
+ load_in_4bit = True,
+ hf_token = None,
+ trust_remote_code = False,
+ gpu_ids = None,
+ dtype = None,
+ ) -> bool:
+ import mlx.core as mx
+
+ model_name = config.identifier if hasattr(config, "identifier") else str(config)
+ is_vision = getattr(config, "is_vision", False)
+
+ if hf_token:
+ import os
+
+ os.environ["HF_TOKEN"] = hf_token
+ self._configure_memory_limits()
+
+ is_lora = getattr(config, "is_lora", False)
+
+ logger.info(
+ "Loading %s via %s (is_lora=%s)",
+ model_name,
+ "mlx-vlm" if is_vision else "mlx-lm",
+ is_lora,
+ )
+
+ try:
+ from unsloth_zoo.mlx_loader import FastMLXModel
+ except ImportError as e:
+ raise ImportError(
+ "Unsloth: MLX inference requires unsloth-zoo with the MLX modules "
+ "(unsloth_zoo.mlx_loader). Reinstall via install.sh on Apple Silicon."
+ ) from e
+
+ model, tokenizer_or_processor = FastMLXModel.from_pretrained(
+ model_name,
+ max_seq_length = max_seq_length,
+ dtype = dtype,
+ load_in_4bit = load_in_4bit,
+ token = hf_token,
+ trust_remote_code = trust_remote_code,
+ text_only = False if is_vision else True,
+ )
+
+ if is_vision:
+ processor = tokenizer_or_processor
+ self._model = model
+ self._processor = processor
+ self._tokenizer = getattr(processor, "tokenizer", processor)
+ self._is_vlm = True
+ else:
+ tokenizer = tokenizer_or_processor
+ self._model = model
+ self._tokenizer = tokenizer
+ self._processor = None
+ self._is_vlm = False
+
+ self.active_model_name = model_name
+ self.models[model_name] = {
+ "model": self._model,
+ "tokenizer": self._tokenizer,
+ "processor": self._processor,
+ "is_vision": is_vision,
+ "is_lora": getattr(config, "is_lora", False),
+ "is_audio": False,
+ "audio_type": None,
+ "has_audio_input": False,
+ }
+
+ logger.info("Model %s loaded successfully", model_name)
+ return True
+
+ def unload_model(self, model_name: str) -> bool:
+ import mlx.core as mx
+ import gc
+
+ if model_name in self.models:
+ del self.models[model_name]
+ self._model = None
+ self._tokenizer = None
+ self._processor = None
+ if self.active_model_name == model_name:
+ self.active_model_name = None
+ gc.collect()
+ mx.clear_cache()
+
+ if mx.metal.is_available() and self._memory_limits_applied and not self.models:
+ try:
+ mx.set_wired_limit(0)
+ logger.info("MLX wired_limit released back to OS on unload")
+ except Exception as e:
+ logger.warning("Failed to release wired_limit: %s", e)
+ self._memory_limits_applied = {}
+ logger.info("Model %s unloaded", model_name)
+ return True
+
+ def generate_chat_response(
+ self,
+ messages,
+ system_prompt = "",
+ image = None,
+ temperature = 0.7,
+ top_p = 0.9,
+ top_k = 40,
+ min_p = 0.0,
+ max_new_tokens = 256,
+ repetition_penalty = 1.0,
+ cancel_event = None,
+ ) -> Generator[str, None, None]:
+ if self._model is None:
+ raise RuntimeError("No model loaded")
+
+ # Build messages with system prompt
+ full_messages = []
+ if system_prompt:
+ full_messages.append({"role": "system", "content": system_prompt})
+ full_messages.extend(messages)
+
+ # Inject image into the last user message for VLM
+ if self._is_vlm and image is not None:
+ for msg in reversed(full_messages):
+ if msg.get("role") == "user":
+ content = msg.get("content", "")
+ if isinstance(content, str):
+ msg["content"] = [
+ {"type": "image"},
+ {"type": "text", "text": content},
+ ]
+ elif isinstance(content, list):
+ # Prepend image if not already there
+ has_image = any(
+ p.get("type") == "image"
+ for p in content
+ if isinstance(p, dict)
+ )
+ if not has_image:
+ content.insert(0, {"type": "image"})
+ break
+
+ if self._is_vlm:
+ yield from self._generate_vlm(
+ full_messages,
+ image,
+ temperature,
+ top_p,
+ top_k,
+ min_p,
+ max_new_tokens,
+ repetition_penalty,
+ cancel_event,
+ )
+ else:
+ yield from self._generate_text(
+ full_messages,
+ temperature,
+ top_p,
+ top_k,
+ min_p,
+ max_new_tokens,
+ repetition_penalty,
+ cancel_event,
+ )
+
+ def _generate_text(
+ self,
+ messages,
+ temperature,
+ top_p,
+ top_k,
+ min_p,
+ max_new_tokens,
+ repetition_penalty,
+ cancel_event,
+ ):
+ from mlx_lm import stream_generate
+ from mlx_lm.sample_utils import make_sampler, make_logits_processors
+
+ prompt = self._tokenizer.apply_chat_template(
+ messages,
+ tokenize = False,
+ add_generation_prompt = True,
+ )
+ if prompt is None:
+ raise RuntimeError(
+ "apply_chat_template returned None — tokenizer may be incompatible"
+ )
+
+ sampler = make_sampler(
+ temp = temperature,
+ top_p = top_p,
+ top_k = int(top_k or 0),
+ min_p = float(min_p or 0.0),
+ min_tokens_to_keep = 1,
+ )
+ # Only build a logits processor when we actually have a non-trivial
+ # repetition penalty (1.0 is the no-op value).
+ logits_processors = None
+ if repetition_penalty is not None and float(repetition_penalty) not in (
+ 0.0,
+ 1.0,
+ ):
+ logits_processors = make_logits_processors(
+ repetition_penalty = float(repetition_penalty),
+ )
+
+ token_ids = []
+ logger.info(
+ "Generating: prompt_len=%d, max_tokens=%d, model=%s, tokenizer=%s",
+ len(prompt),
+ max_new_tokens,
+ type(self._model).__name__,
+ type(self._tokenizer).__name__,
+ )
+ with self._generation_lock:
+ try:
+ gen_kwargs = dict(
+ prompt = prompt,
+ max_tokens = max_new_tokens,
+ sampler = sampler,
+ )
+ if logits_processors is not None:
+ gen_kwargs["logits_processors"] = logits_processors
+ for response in stream_generate(
+ self._model,
+ self._tokenizer,
+ **gen_kwargs,
+ ):
+ token_ids.append(response.token)
+ # Decode full sequence with skip_special_tokens — same as GPU
+ cumulative = self._tokenizer.decode(
+ token_ids,
+ skip_special_tokens = True,
+ )
+ yield cumulative
+
+ if cancel_event and cancel_event.is_set():
+ break
+ except Exception as e:
+ import traceback
+
+ logger.error("stream_generate failed:\n%s", traceback.format_exc())
+ raise
+
+ def _generate_vlm(
+ self,
+ messages,
+ image,
+ temperature,
+ top_p,
+ top_k,
+ min_p,
+ max_new_tokens,
+ repetition_penalty,
+ cancel_event,
+ ):
+ from mlx_vlm import stream_generate as vlm_stream
+
+ # Apply chat template
+ chat_fn = getattr(self._processor, "apply_chat_template", None)
+ if (
+ chat_fn is None
+ or not hasattr(self._processor, "chat_template")
+ or self._processor.chat_template is None
+ ):
+ tok = getattr(self._processor, "tokenizer", self._processor)
+ chat_fn = tok.apply_chat_template
+
+ prompt = chat_fn(messages, tokenize = False, add_generation_prompt = True)
+
+ # For VLM: always use mlx_vlm's stream_generate which handles
+ # pixel_values properly (passes None for text-only, image for VLM)
+ images = [image] if image is not None else None
+
+ cumulative = ""
+ logger.info(
+ "VLM generating: prompt_len=%d, has_image=%s",
+ len(prompt),
+ image is not None,
+ )
+ # mlx_vlm.stream_generate forwards **kwargs into generate_step, which
+ # accepts temp/top_p/top_k/repetition_penalty (and builds the sampler
+ # + logits_processors internally). Pass them through.
+ # NOTE: mlx_vlm.generate_step expects ``temperature=`` (long form) —
+ # passing ``temp=`` silently falls into **kwargs and is ignored,
+ # leaving generation stuck at the default 0.0 (greedy).
+ vlm_kwargs = dict(
+ max_tokens = max_new_tokens,
+ temperature = temperature,
+ top_p = top_p,
+ top_k = int(top_k or 0),
+ min_p = float(min_p or 0.0),
+ )
+ if repetition_penalty is not None and float(repetition_penalty) not in (
+ 0.0,
+ 1.0,
+ ):
+ vlm_kwargs["repetition_penalty"] = float(repetition_penalty)
+
+ with self._generation_lock:
+ for response in vlm_stream(
+ self._model,
+ self._processor,
+ prompt,
+ images,
+ **vlm_kwargs,
+ ):
+ token_text = (
+ response.text if hasattr(response, "text") else str(response)
+ )
+ cumulative += token_text
+ yield cumulative
+ if cancel_event and cancel_event.is_set():
+ break
+
+ def generate_with_adapter_control(
+ self, use_adapter = None, cancel_event = None, **gen_kwargs
+ ) -> Generator[str, None, None]:
+ # MLX LoRA adapter toggling not yet supported — generate normally
+ yield from self.generate_chat_response(cancel_event = cancel_event, **gen_kwargs)
+
+ def reset_generation_state(self):
+ import mlx.core as mx
+ import gc
+
+ gc.collect()
+ mx.clear_cache()
diff --git a/studio/backend/core/inference/worker.py b/studio/backend/core/inference/worker.py
index fbcce276ba..085a1ab899 100644
--- a/studio/backend/core/inference/worker.py
+++ b/studio/backend/core/inference/worker.py
@@ -663,6 +663,98 @@ def run_inference_process(
model_name = config["model_name"]
+ # ── 0. MLX fast-path — skip torch/transformers entirely ──
+ backend_path = str(Path(__file__).resolve().parent.parent.parent)
+ if backend_path not in sys.path:
+ sys.path.insert(0, backend_path)
+
+ from utils.hardware import hardware as _hw
+
+ _hw.detect_hardware()
+ if _hw.DEVICE == _hw.DeviceType.MLX:
+ try:
+ _activate_transformers_version(model_name)
+ except Exception:
+ pass
+ try:
+ from core.inference.mlx_inference import MLXInferenceBackend
+
+ backend = MLXInferenceBackend()
+ _send_response(
+ resp_queue,
+ {"type": "status", "message": "Loading model...", "ts": time.time()},
+ )
+ _handle_load(backend, config, resp_queue)
+ except Exception as exc:
+ _send_response(
+ resp_queue,
+ {
+ "type": "error",
+ "error": f"MLX inference init failed: {exc}",
+ "stack": traceback.format_exc(limit = 20),
+ "ts": time.time(),
+ },
+ )
+ return
+
+ # Enter same command loop as GPU path
+ logger.info("MLX inference subprocess ready, entering command loop")
+ while True:
+ try:
+ cmd = cmd_queue.get(timeout = 1.0)
+ except _queue.Empty:
+ continue
+ except (EOFError, OSError):
+ return
+ if cmd is None:
+ continue
+ cmd_type = cmd.get("type", "")
+ try:
+ if cmd_type == "generate":
+ cancel_event.clear()
+ _handle_generate(backend, cmd, resp_queue, cancel_event)
+ elif cmd_type == "load":
+ if backend.active_model_name:
+ backend.unload_model(backend.active_model_name)
+ _handle_load(backend, cmd, resp_queue)
+ elif cmd_type == "unload":
+ _handle_unload(backend, cmd, resp_queue)
+ elif cmd_type == "cancel":
+ cancel_event.set()
+ elif cmd_type == "reset":
+ cancel_event.set()
+ backend.reset_generation_state()
+ _send_response(resp_queue, {"type": "reset_ack", "ts": time.time()})
+ elif cmd_type == "status":
+ _send_response(
+ resp_queue,
+ {
+ "type": "status_response",
+ "active_model": backend.active_model_name,
+ "models": {
+ k: {kk: vv for kk, vv in v.items() if kk != "model"}
+ for k, v in backend.models.items()
+ },
+ "loading": list(backend.loading_models),
+ "ts": time.time(),
+ },
+ )
+ elif cmd_type == "shutdown":
+ return
+ except Exception as exc:
+ logger.error("MLX command error (%s): %s", cmd_type, exc)
+ _send_response(
+ resp_queue,
+ {
+ "type": "gen_error" if cmd_type == "generate" else "error",
+ "request_id": cmd.get("request_id"),
+ "error": str(exc),
+ "stack": traceback.format_exc(limit = 20),
+ "ts": time.time(),
+ },
+ )
+ return
+
# ── 1. Activate correct transformers version BEFORE any ML imports ──
try:
_activate_transformers_version(model_name)
diff --git a/studio/backend/core/training/training.py b/studio/backend/core/training/training.py
index 5642faa189..a04ad5ef49 100644
--- a/studio/backend/core/training/training.py
+++ b/studio/backend/core/training/training.py
@@ -62,6 +62,7 @@ class TrainingProgress:
grad_norm: Optional[float] = None
num_tokens: Optional[int] = None
eval_loss: Optional[float] = None
+ peak_memory_gb: Optional[float] = None
class TrainingBackend:
@@ -199,21 +200,27 @@ class TrainingBackend:
config["load_in_4bit"] = False
# Spawn subprocess — use locals so state is untouched on failure
- resolved_gpu_ids, gpu_selection = prepare_gpu_selection(
- kwargs.get("gpu_ids"),
- model_name = config["model_name"],
- hf_token = config["hf_token"] or None,
- training_type = config["training_type"],
- load_in_4bit = config["load_in_4bit"],
- batch_size = config.get("batch_size", 4),
- max_seq_length = config.get("max_seq_length", 2048),
- lora_rank = config.get("lora_r", 16),
- target_modules = config.get("target_modules"),
- gradient_checkpointing = config.get("gradient_checkpointing", "unsloth"),
- optimizer = config.get("optim", "adamw_8bit"),
- )
- config["resolved_gpu_ids"] = resolved_gpu_ids
- config["gpu_selection"] = gpu_selection
+ from utils.hardware import hardware as _hw
+
+ if _hw.DEVICE == _hw.DeviceType.MLX:
+ config["resolved_gpu_ids"] = None
+ config["gpu_selection"] = None
+ else:
+ resolved_gpu_ids, gpu_selection = prepare_gpu_selection(
+ kwargs.get("gpu_ids"),
+ model_name = config["model_name"],
+ hf_token = config["hf_token"] or None,
+ training_type = config["training_type"],
+ load_in_4bit = config["load_in_4bit"],
+ batch_size = config.get("batch_size", 4),
+ max_seq_length = config.get("max_seq_length", 2048),
+ lora_rank = config.get("lora_r", 16),
+ target_modules = config.get("target_modules"),
+ gradient_checkpointing = config.get("gradient_checkpointing", "unsloth"),
+ optimizer = config.get("optim", "adamw_8bit"),
+ )
+ config["resolved_gpu_ids"] = resolved_gpu_ids
+ config["gpu_selection"] = gpu_selection
from .worker import run_training_process
@@ -512,6 +519,12 @@ class TrainingBackend:
self._progress.grad_norm = event.get("grad_norm")
self._progress.num_tokens = event.get("num_tokens")
self._progress.eval_loss = event.get("eval_loss")
+ _peak = event.get("peak_memory_gb")
+ if _peak is not None:
+ try:
+ self._progress.peak_memory_gb = float(_peak)
+ except (TypeError, ValueError):
+ pass
self._progress.is_training = True
status = event.get("status_message", "")
if status:
diff --git a/studio/backend/core/training/worker.py b/studio/backend/core/training/worker.py
index 60b9e994ab..9c017db6de 100644
--- a/studio/backend/core/training/worker.py
+++ b/studio/backend/core/training/worker.py
@@ -338,6 +338,594 @@ def _activate_transformers_version(model_name: str) -> None:
activate_transformers_for_subprocess(model_name)
+def _adapt_for_mlx_vlm(items):
+ """Adapt GPU-path VLM dataset output for mlx-vlm consumption.
+
+ The GPU path embeds PIL images inside messages content as
+ {"type": "image", "image": PIL_Image}. mlx-vlm's prepare_inputs
+ needs images at top-level to produce pixel_values — regardless of
+ model type. Extract them and leave bare {"type": "image"} placeholders.
+ """
+ adapted = []
+ for item in items:
+ images = []
+ messages = []
+ for msg in item.get("messages", []):
+ content = msg.get("content", "")
+ if isinstance(content, list):
+ new_content = []
+ for part in content:
+ if isinstance(part, dict) and part.get("type") == "image":
+ img = part.get("image")
+ if img is not None:
+ images.append(img)
+ new_content.append({"type": "image"})
+ else:
+ new_content.append(part)
+ messages.append({"role": msg["role"], "content": new_content})
+ else:
+ messages.append(msg)
+ out = {"messages": messages}
+ if images:
+ out["image"] = images[0] if len(images) == 1 else images
+ elif "image" in item:
+ out["image"] = item["image"]
+ elif "images" in item:
+ out["images"] = item["images"]
+ adapted.append(out)
+ return adapted
+
+
+_MLX_STUDIO_OPTIM_MAP = {
+ "adamw_8bit": "adamw",
+ "paged_adamw_8bit": "adamw",
+ "adamw_bnb_8bit": "adamw",
+ "paged_adamw_32bit": "adamw",
+ "adamw_torch": "adamw",
+ "adamw_torch_fused": "adamw",
+ "adamw": "adamw",
+ "adafactor": "adafactor",
+ "sgd": "sgd",
+ "adam": "adam",
+ "muon": "muon",
+ "lion": "lion",
+}
+_MLX_STUDIO_LR_SCHEDULERS = {"linear", "cosine", "constant"}
+
+
+def _normalize_mlx_studio_optimizer(value):
+ raw = str(value or "adamw_8bit").strip().lower()
+ try:
+ return _MLX_STUDIO_OPTIM_MAP[raw]
+ except KeyError:
+ supported = ", ".join(sorted(_MLX_STUDIO_OPTIM_MAP))
+ raise ValueError(
+ f"Unsupported optimizer for MLX training: {value!r}. "
+ f"Supported values: {supported}."
+ )
+
+
+def _normalize_mlx_studio_scheduler(value):
+ raw = str(value or "linear").strip().lower()
+ if raw not in _MLX_STUDIO_LR_SCHEDULERS:
+ supported = ", ".join(sorted(_MLX_STUDIO_LR_SCHEDULERS))
+ raise ValueError(
+ f"Unsupported LR scheduler for MLX training: {value!r}. "
+ f"Supported values: {supported}."
+ )
+ return raw
+
+
+def _run_mlx_training(event_queue, stop_queue, config):
+ """Self-contained MLX training path for Apple Silicon.
+
+ Uses MLXTrainer from unsloth_zoo directly -- no torch/SFTTrainer needed.
+ Mirrors the event_queue protocol so the parent process pump works unchanged.
+ """
+ import time
+ import gc
+ import math
+ import threading
+ import queue as _queue
+ from pathlib import Path
+
+ def _send(event_type, **kwargs):
+ if event_type == "status" and "message" not in kwargs:
+ sm = kwargs.get("status_message")
+ if sm is not None:
+ kwargs["message"] = sm
+ event_queue.put({"type": event_type, "ts": time.time(), **kwargs})
+
+ _send("status", status_message = "Loading MLX libraries...")
+
+ import mlx.core as mx
+
+ try:
+ from unsloth_zoo.mlx_loader import FastMLXModel
+ from unsloth_zoo.mlx_trainer import (
+ MLXTrainer,
+ MLXTrainingConfig,
+ train_on_responses_only,
+ )
+ except ImportError as e:
+ raise ImportError(
+ "Unsloth: MLX training requires unsloth-zoo with the MLX modules "
+ "(unsloth_zoo.mlx_loader / unsloth_zoo.mlx_trainer). Reinstall via "
+ "install.sh on Apple Silicon."
+ ) from e
+ from datasets import load_dataset
+
+ if mx.metal.is_available():
+ info = mx.device_info()
+ rec_bytes = info.get("max_recommended_working_set_size", 0) or 0
+ if rec_bytes > 0:
+ memory_cap = int(rec_bytes * 0.85)
+ wired_cap = min(int(rec_bytes), memory_cap)
+ mx.set_memory_limit(memory_cap)
+ mx.set_wired_limit(wired_cap)
+
+ model_name = config["model_name"]
+ hf_token = config.get("hf_token") or None
+ if hf_token:
+ os.environ["HF_TOKEN"] = hf_token
+
+ if config.get("use_loftq"):
+ message = "LoftQ is not supported for MLX training yet."
+ _send("error", error = message)
+ raise NotImplementedError(message)
+
+ optim_name = _normalize_mlx_studio_optimizer(config.get("optim", "adamw_8bit"))
+ lr_scheduler_type = _normalize_mlx_studio_scheduler(
+ config.get("lr_scheduler_type", "linear")
+ )
+
+ # ── 1. Load model ──
+ # Force text-only if the dataset is not an image dataset, even if the model
+ # has vision capabilities (e.g. Qwen3.5-VL trained on plain alpaca text).
+ _send("status", status_message = f"Loading {model_name}...")
+ is_dataset_image = bool(config.get("is_dataset_image", False))
+ training_type = config.get("training_type", "LoRA/QLoRA")
+ use_lora = training_type == "LoRA/QLoRA"
+ model, tokenizer = FastMLXModel.from_pretrained(
+ model_name,
+ load_in_4bit = config.get("load_in_4bit", True),
+ full_finetuning = not use_lora,
+ text_only = None if is_dataset_image else True,
+ token = hf_token,
+ trust_remote_code = bool(config.get("trust_remote_code", False)),
+ random_state = config.get("random_seed", 3407),
+ )
+
+ is_vlm = bool(is_dataset_image and getattr(model, "_is_vlm_model", False))
+ model._is_vlm_model = is_vlm
+
+ # ── 2. Apply LoRA / full FT ──
+ # Pass gradient_checkpointing as string ("mlx"/"unsloth"/"none"/etc.)
+ # get_peft_model and MLXTrainer both accept strings and handle them.
+ gc_setting = config.get("gradient_checkpointing", "mlx")
+ if isinstance(gc_setting, str):
+ use_grad_checkpoint = (
+ gc_setting if gc_setting.lower() not in ("false", "") else False
+ )
+ else:
+ use_grad_checkpoint = gc_setting
+
+ if use_lora:
+ _send("status", status_message = "Configuring LoRA adapters...")
+ peft_kwargs = dict(
+ r = config.get("lora_r", 16),
+ lora_alpha = config.get("lora_alpha", 16),
+ lora_dropout = config.get("lora_dropout", 0.0),
+ use_rslora = config.get("use_rslora", False),
+ init_lora_weights = config.get("init_lora_weights", True),
+ random_state = config.get("random_seed", 3407),
+ target_modules = config.get("target_modules")
+ or [
+ "q_proj",
+ "k_proj",
+ "v_proj",
+ "o_proj",
+ "gate_proj",
+ "up_proj",
+ "down_proj",
+ ],
+ use_gradient_checkpointing = use_grad_checkpoint,
+ )
+ finetune_language = config.get("finetune_language_layers", True)
+ finetune_attention = config.get("finetune_attention_modules", True)
+ finetune_mlp = config.get("finetune_mlp_modules", True)
+ finetune_vision = (
+ config.get("finetune_vision_layers", False) if is_vlm else False
+ )
+
+ if (
+ (finetune_attention or finetune_mlp)
+ and not finetune_language
+ and not finetune_vision
+ ):
+ finetune_language = True
+
+ peft_kwargs["finetune_language_layers"] = finetune_language
+ peft_kwargs["finetune_attention_modules"] = finetune_attention
+ peft_kwargs["finetune_mlp_modules"] = finetune_mlp
+ if is_vlm:
+ peft_kwargs["finetune_vision_layers"] = finetune_vision
+ model = FastMLXModel.get_peft_model(model, **peft_kwargs)
+
+ # ── 3. Load dataset ──
+ _send("status", status_message = "Loading dataset...")
+ hf_dataset = config.get("hf_dataset", "")
+ subset = config.get("subset")
+ train_split = config.get("train_split", "train") or "train"
+ eval_split = config.get("eval_split")
+ slice_start = config.get("dataset_slice_start")
+ slice_end = config.get("dataset_slice_end")
+
+ def _slice(ds):
+ if slice_start is not None or slice_end is not None:
+ start = slice_start if slice_start is not None else 0
+ end = slice_end if slice_end is not None else len(ds) - 1
+ if end < start:
+ return ds.select([])
+ ds = ds.select(range(start, min(end + 1, len(ds))))
+ return ds
+
+ def _load_local(file_paths):
+ from core.training.trainer import UnslothTrainer
+ from datasets import load_from_disk
+
+ if len(file_paths) == 1:
+ p = Path(file_paths[0])
+ if p.is_dir() and (
+ (p / "dataset_info.json").exists() or (p / "state.json").exists()
+ ):
+ return load_from_disk(str(p))
+ all_files = UnslothTrainer._resolve_local_files(file_paths)
+ if not all_files:
+ raise ValueError("No local dataset files found")
+ loader = UnslothTrainer._loader_for_files(all_files)
+ return load_dataset(loader, data_files = all_files, split = "train")
+
+ if hf_dataset:
+ load_kwargs = {"split": train_split, "token": hf_token}
+ if subset:
+ load_kwargs["name"] = subset
+ dataset = load_dataset(hf_dataset, **load_kwargs)
+ dataset = _slice(dataset)
+ elif config.get("local_datasets"):
+ dataset = _load_local(config["local_datasets"])
+ dataset = _slice(dataset)
+ else:
+ raise ValueError("No dataset specified")
+
+ # Eval dataset (separate split or local file)
+ eval_dataset = None
+ if eval_split and hf_dataset:
+ eval_kwargs = {"split": eval_split, "token": hf_token}
+ if subset:
+ eval_kwargs["name"] = subset
+ try:
+ eval_dataset = load_dataset(hf_dataset, **eval_kwargs)
+ except Exception as e:
+ _send("status", status_message = f"Eval split load failed: {e}")
+ eval_dataset = None
+ elif config.get("local_eval_datasets"):
+ eval_dataset = _load_local(config["local_eval_datasets"])
+
+ # ── 3b. Format dataset (VLM or text) ──
+ # Reuse the GPU path's format pipeline for both VLM (auto-detects OCR/caption/
+ # llava/sharegpt+images) and text (alpaca/sharegpt/chatml → "text" column).
+ format_type = config.get("format_type", "")
+ try:
+ from utils.datasets import format_and_template_dataset
+
+ def _fmt_progress(status_message = "", **_kw):
+ _send("status", status_message = status_message)
+
+ if is_vlm:
+ _send("status", status_message = "Formatting VLM dataset...")
+ vlm_info = format_and_template_dataset(
+ dataset,
+ model_name = model_name,
+ tokenizer = tokenizer,
+ is_vlm = True,
+ dataset_name = hf_dataset or "local",
+ progress_callback = _fmt_progress,
+ )
+ if vlm_info.get("success"):
+ dataset = _adapt_for_mlx_vlm(vlm_info["dataset"])
+ else:
+ errors = vlm_info.get("errors", [])
+ raise ValueError(
+ f"VLM dataset format conversion failed: {'; '.join(errors)}"
+ )
+ if eval_dataset is not None:
+ ev_info = format_and_template_dataset(
+ eval_dataset,
+ model_name = model_name,
+ tokenizer = tokenizer,
+ is_vlm = True,
+ dataset_name = hf_dataset or "local",
+ )
+ if ev_info.get("success"):
+ eval_dataset = _adapt_for_mlx_vlm(ev_info["dataset"])
+
+ elif format_type:
+ _send("status", status_message = f"Formatting dataset ({format_type})...")
+ info = format_and_template_dataset(
+ dataset,
+ model_name = model_name,
+ tokenizer = tokenizer,
+ is_vlm = False,
+ format_type = format_type,
+ dataset_name = hf_dataset or "local",
+ )
+ if info.get("success", True):
+ dataset = info.get("dataset", dataset)
+ if eval_dataset is not None:
+ ev = format_and_template_dataset(
+ eval_dataset,
+ model_name = model_name,
+ tokenizer = tokenizer,
+ is_vlm = False,
+ format_type = format_type,
+ dataset_name = hf_dataset or "local",
+ )
+ if ev.get("success", True):
+ eval_dataset = ev.get("dataset", eval_dataset)
+ except ImportError:
+ _send("status", status_message = "Format helper unavailable, using raw dataset")
+
+ # ── 4. Resolve training steps ──
+ max_steps = config.get("max_steps", 0) or 0
+ num_epochs = config.get("num_epochs", 3)
+ max_seq_length = config.get("max_seq_length", 2048)
+ batch_size = config.get("batch_size", 4)
+ grad_accum = config.get("gradient_accumulation_steps", 4)
+
+ if max_steps <= 0:
+ max_steps = max(
+ 1,
+ math.ceil(len(dataset) / batch_size / grad_accum) * num_epochs,
+ )
+
+ lr_value = float(config.get("learning_rate", "2e-4"))
+
+ # Warmup: prefer warmup_steps; fall back to warmup_ratio
+ warmup_steps = config.get("warmup_steps")
+ warmup_ratio = config.get("warmup_ratio")
+ if warmup_steps is None and warmup_ratio is not None:
+ warmup_steps = int(round(warmup_ratio * max_steps))
+ if warmup_steps is None:
+ warmup_steps = 5
+
+ # ── 5. Build output dir ──
+ output_dir = config.get("output_dir", "")
+ if not output_dir:
+ output_dir = f"{model_name.replace('/', '_')}_{int(time.time())}"
+ # Resolve to ~/.unsloth/studio/outputs/ so the export page can find it
+ from utils.paths import resolve_output_dir, ensure_dir
+
+ output_dir = str(resolve_output_dir(output_dir))
+ ensure_dir(Path(output_dir))
+
+ # ── 6. Create trainer ──
+ eval_steps_val = config.get("eval_steps", 0) or 0
+ if isinstance(eval_steps_val, float) and 0 < eval_steps_val < 1:
+ # Studio sometimes sends fraction-of-total-steps
+ eval_steps_val = max(1, int(eval_steps_val * max_steps))
+ else:
+ eval_steps_val = int(eval_steps_val)
+
+ trainer = MLXTrainer(
+ model = model,
+ tokenizer = tokenizer,
+ train_dataset = dataset,
+ eval_dataset = eval_dataset,
+ args = MLXTrainingConfig(
+ per_device_train_batch_size = batch_size,
+ gradient_accumulation_steps = grad_accum,
+ max_steps = max_steps,
+ learning_rate = lr_value,
+ warmup_steps = warmup_steps,
+ lr_scheduler_type = lr_scheduler_type,
+ optim = optim_name,
+ weight_decay = float(config.get("weight_decay", 0.001) or 0.001),
+ logging_steps = 1,
+ max_seq_length = max_seq_length,
+ seed = config.get("random_seed", 3407),
+ use_cce = True,
+ compile = True,
+ gradient_checkpointing = use_grad_checkpoint,
+ streaming = is_vlm,
+ packing = bool(config.get("packing", False)),
+ output_dir = output_dir,
+ save_steps = int(config.get("save_steps", 0) or 0),
+ eval_steps = eval_steps_val,
+ ),
+ )
+
+ # Tell the parent that eval is configured so the frontend shows the eval chart
+ if eval_dataset is not None and eval_steps_val > 0:
+ _send("eval_configured")
+
+ # ── 7. Apply train_on_responses_only if requested ──
+ if config.get("train_on_completions", False):
+ _send("status", status_message = "Configuring response-only training...")
+ try:
+ from utils.datasets import (
+ MODEL_TO_TEMPLATE_MAPPER,
+ TEMPLATE_TO_RESPONSES_MAPPER,
+ )
+
+ template_name = MODEL_TO_TEMPLATE_MAPPER.get(model_name.lower())
+ markers = (
+ TEMPLATE_TO_RESPONSES_MAPPER.get(template_name)
+ if template_name
+ else None
+ )
+ if markers:
+ trainer = train_on_responses_only(
+ trainer,
+ instruction_part = markers["instruction"],
+ response_part = markers["response"],
+ )
+ else:
+ _send(
+ "status",
+ status_message = f"train_on_completions skipped (no template for {model_name})",
+ )
+ except Exception as e:
+ _send("status", status_message = f"train_on_completions failed: {e}")
+
+ # ── 8. Setup wandb / tensorboard ──
+ wandb_run = None
+ tb_writer = None
+ if config.get("enable_wandb", False):
+ try:
+ import wandb as _wandb
+
+ wandb_token = config.get("wandb_token")
+ if wandb_token:
+ os.environ["WANDB_API_KEY"] = wandb_token
+ _wandb_sensitive = {"hf_token", "wandb_token"}
+ wandb_run = _wandb.init(
+ project = config.get("wandb_project") or "unsloth-mlx",
+ config = {k: v for k, v in config.items() if k not in _wandb_sensitive},
+ reinit = True,
+ )
+ except Exception as e:
+ _send("status", status_message = f"wandb init failed: {e}")
+ if config.get("enable_tensorboard", False):
+ try:
+ from tensorboardX import SummaryWriter
+ except ImportError:
+ try:
+ from torch.utils.tensorboard import SummaryWriter
+ except ImportError:
+ SummaryWriter = None
+ if SummaryWriter is not None:
+ try:
+ tb_dir = config.get("tensorboard_dir") or f"{output_dir}/runs"
+ tb_writer = SummaryWriter(log_dir = tb_dir)
+ except Exception as e:
+ _send("status", status_message = f"tensorboard init failed: {e}")
+ else:
+ _send(
+ "status",
+ status_message = "tensorboard unavailable (install tensorboardX)",
+ )
+
+ # ── 9. Real-time progress callback ──
+ _send("status", status_message = f"Training {model_name}...")
+
+ def _on_step(step, total, loss, lr, tok_s, peak_gb, elapsed, num_tokens):
+ eta = (elapsed / step * (total - step)) if step > 0 else 0
+ _send(
+ "progress",
+ step = step,
+ epoch = round(step / total * num_epochs, 2) if total > 0 else 0,
+ loss = loss,
+ learning_rate = lr,
+ total_steps = total,
+ elapsed_seconds = elapsed,
+ eta_seconds = max(0, eta),
+ grad_norm = None,
+ num_tokens = num_tokens,
+ eval_loss = None,
+ status_message = None,
+ peak_memory_gb = peak_gb,
+ )
+ if wandb_run is not None:
+ try:
+ wandb_run.log(
+ {
+ "train/loss": loss,
+ "train/learning_rate": lr,
+ "train/tokens_per_sec": tok_s,
+ "train/peak_gb": peak_gb,
+ "train/num_tokens": num_tokens,
+ },
+ step = step,
+ )
+ except Exception:
+ pass
+ if tb_writer is not None:
+ try:
+ tb_writer.add_scalar("train/loss", loss, step)
+ tb_writer.add_scalar("train/learning_rate", lr, step)
+ tb_writer.add_scalar("train/tokens_per_sec", tok_s, step)
+ tb_writer.add_scalar("train/peak_gb", peak_gb, step)
+ except Exception:
+ pass
+
+ trainer.add_step_callback(_on_step)
+
+ def _on_eval(step, eval_loss, perplexity):
+ _send("progress", step = step, eval_loss = eval_loss)
+ if wandb_run is not None:
+ try:
+ wandb_run.log(
+ {"eval/loss": eval_loss, "eval/perplexity": perplexity}, step = step
+ )
+ except Exception:
+ pass
+ if tb_writer is not None:
+ try:
+ tb_writer.add_scalar("eval/loss", eval_loss, step)
+ tb_writer.add_scalar("eval/perplexity", perplexity, step)
+ except Exception:
+ pass
+
+ trainer.add_eval_callback(_on_eval)
+
+ # ── 10. Stop signal polling ──
+ _stop_save = [True] # mutable so thread can update; [save_flag]
+
+ def _poll_stop():
+ while True:
+ try:
+ msg = stop_queue.get(timeout = 1.0)
+ if msg and msg.get("type") == "stop":
+ _stop_save[0] = msg.get("save", True)
+ trainer.stop_requested = True
+ return
+ except _queue.Empty:
+ continue
+ except (EOFError, OSError):
+ # why safe: pipe permanently broken, no further messages can arrive
+ return
+
+ stop_thread = threading.Thread(target = _poll_stop, daemon = True)
+ stop_thread.start()
+
+ # ── 11. Run training ──
+ gc.collect()
+ mx.synchronize()
+ trainer.train()
+
+ # ── 12. Save and finalize ──
+ if trainer.stop_requested and not _stop_save[0]:
+ # User clicked "Cancel" (save=False) — skip saving
+ _send("complete", output_dir = None, status_message = "Training cancelled")
+ else:
+ _send("status", status_message = "Saving model...")
+ mx.synchronize()
+ trainer.save_model(output_dir)
+ _send("complete", output_dir = output_dir, status_message = "Training completed")
+
+ if tb_writer is not None:
+ try:
+ tb_writer.close()
+ except Exception:
+ pass
+ if wandb_run is not None:
+ try:
+ wandb_run.finish()
+ except Exception:
+ pass
+
+
def run_training_process(
*,
event_queue: Any,
@@ -371,6 +959,46 @@ def run_training_process(
model_name = config["model_name"]
+ # ── 0. MLX FAST-PATH (must run before any torch/transformers imports) ──
+ # Apple Silicon uses MLXTrainer directly -- skip transformers version
+ # activation, causal-conv1d install, and torch imports entirely.
+ backend_path = str(Path(__file__).resolve().parent.parent.parent)
+ if backend_path not in sys.path:
+ sys.path.insert(0, backend_path)
+
+ from utils.hardware import hardware as _hw
+
+ _hw.detect_hardware()
+ if _hw.DEVICE == _hw.DeviceType.MLX:
+ if config.get("is_dataset_audio"):
+ event_queue.put(
+ {
+ "type": "error",
+ "error": "Audio dataset training is not yet supported on Apple Silicon.",
+ "stack": "",
+ "ts": time.time(),
+ }
+ )
+ return
+ # Activate correct transformers version (Gemma-4 needs 5.5.0, etc.)
+ # Must happen before any transformers/mlx-lm imports in _run_mlx_training.
+ try:
+ _activate_transformers_version(model_name)
+ except Exception:
+ pass # Non-fatal: fall through with whatever version is installed
+ try:
+ _run_mlx_training(event_queue, stop_queue, config)
+ except Exception as exc:
+ event_queue.put(
+ {
+ "type": "error",
+ "error": str(exc),
+ "stack": traceback.format_exc(limit = 20),
+ "ts": time.time(),
+ }
+ )
+ return
+
# ── 1. Activate correct transformers version BEFORE any ML imports ──
try:
_activate_transformers_version(model_name)
diff --git a/studio/backend/main.py b/studio/backend/main.py
index 372daaad64..c1da69d927 100644
--- a/studio/backend/main.py
+++ b/studio/backend/main.py
@@ -23,12 +23,67 @@ if _backend_dir not in sys.path:
# See: https://github.com/python/cpython/issues/102396
import _platform_compat # noqa: F401
+# Direct `uvicorn main:app` launches bypass run.py, so re-export here too
+# (mirrors run.py). Required BEFORE the unsloth-zoo import below, since
+# its LLAMA_CPP_DEFAULT_DIR binding is import-time.
+from utils.paths.storage_roots import studio_root as _studio_root
+
+try:
+ _LEGACY_STUDIO_ROOT = (_Path.home() / ".unsloth" / "studio").resolve()
+except (OSError, ValueError):
+ _LEGACY_STUDIO_ROOT = _Path.home() / ".unsloth" / "studio"
+try:
+ _STUDIO_ROOT_RESOLVED = _studio_root().resolve()
+except (OSError, ValueError):
+ _STUDIO_ROOT_RESOLVED = _studio_root()
+if _STUDIO_ROOT_RESOLVED != _LEGACY_STUDIO_ROOT:
+ if not os.environ.get("UNSLOTH_STUDIO_HOME"):
+ os.environ["UNSLOTH_STUDIO_HOME"] = str(_STUDIO_ROOT_RESOLVED)
+ if not os.environ.get("UNSLOTH_LLAMA_CPP_PATH"):
+ os.environ["UNSLOTH_LLAMA_CPP_PATH"] = str(_STUDIO_ROOT_RESOLVED / "llama.cpp")
+
import mimetypes
+import re as _re
import shutil
import warnings
from contextlib import asynccontextmanager
from importlib.metadata import PackageNotFoundError, version as package_version
+
+_STUDIO_INSTALL_ID_RE = _re.compile(r"^[0-9a-f]{64}$")
+
+
+def _read_studio_install_id() -> str:
+ """Per-install opaque id written by install.sh / install.ps1 at
+ $STUDIO_HOME/share/studio_install_id. Returns "" when the file is
+ absent (pre-PR install, fresh tree never run through the installer)
+ or contains anything other than a 64-char lowercase-hex token --
+ in which case /api/health emits "" and the launcher's _check_health
+ falls back to the existing "no baked id, accept any healthy
+ Unsloth backend" path. This intentionally replaces a previous
+ sha256(resolved_install_path) so the field carries no install-path
+ information for callers reaching /api/health (relevant when Studio
+ is run with -H 0.0.0.0)."""
+ try:
+ token = (
+ (_STUDIO_ROOT_RESOLVED / "share" / "studio_install_id").read_text().strip()
+ )
+ except (OSError, ValueError):
+ return ""
+ return token if _STUDIO_INSTALL_ID_RE.fullmatch(token) else ""
+
+
+_STUDIO_ROOT_ID_CACHE: str = _read_studio_install_id()
+
+
+def _studio_root_id() -> str:
+ """Same-install discriminator for /api/health: a per-install opaque
+ token written once by the installer and read once at module import.
+ Empty when no installer-written token is present; the launcher
+ contract treats "" as "no baked id, accept any healthy backend"."""
+ return _STUDIO_ROOT_ID_CACHE
+
+
# Fix broken Windows registry MIME types. Some Windows installs map .js to
# "text/plain" in the registry (HKCR\.js\Content Type). Python's mimetypes
# module reads from the registry, and FastAPI/Starlette's StaticFiles uses
@@ -252,6 +307,10 @@ async def health_check():
"chat_only": _hw_module.CHAT_ONLY,
"desktop_protocol_version": 1,
"supports_desktop_auth": True,
+ # why: launchers compare against an install-time hash so a sibling
+ # Studio on the same port is rejected; hex digest avoids leaking the
+ # raw install path on -H 0.0.0.0.
+ "studio_root_id": _studio_root_id(),
"native_path_leases_supported": native_path_leases_supported(),
}
diff --git a/studio/backend/run.py b/studio/backend/run.py
index c5b103ff70..1dd1230a17 100644
--- a/studio/backend/run.py
+++ b/studio/backend/run.py
@@ -159,7 +159,27 @@ def _find_free_port(host: str, start: int, max_attempts: int = 20) -> int:
)
-_PID_FILE = Path.home() / ".unsloth" / "studio" / "studio.pid"
+from utils.paths.storage_roots import studio_root as _studio_root
+
+_PID_FILE = _studio_root() / "studio.pid"
+
+# Direct backend launches bypass the CLI's env re-export; do it here for
+# real custom roots so unsloth-zoo's import-time LLAMA_CPP_DEFAULT_DIR
+# picks up the custom build. Skip for legacy-default to avoid flipping
+# default-mode installs into env-override.
+try:
+ _LEGACY_STUDIO_ROOT = (Path.home() / ".unsloth" / "studio").resolve()
+except (OSError, ValueError):
+ _LEGACY_STUDIO_ROOT = Path.home() / ".unsloth" / "studio"
+try:
+ _STUDIO_ROOT_RESOLVED = _studio_root().resolve()
+except (OSError, ValueError):
+ _STUDIO_ROOT_RESOLVED = _studio_root()
+if _STUDIO_ROOT_RESOLVED != _LEGACY_STUDIO_ROOT:
+ if not os.environ.get("UNSLOTH_STUDIO_HOME"):
+ os.environ["UNSLOTH_STUDIO_HOME"] = str(_STUDIO_ROOT_RESOLVED)
+ if not os.environ.get("UNSLOTH_LLAMA_CPP_PATH"):
+ os.environ["UNSLOTH_LLAMA_CPP_PATH"] = str(_STUDIO_ROOT_RESOLVED / "llama.cpp")
def _write_pid_file():
diff --git a/studio/backend/tests/test_mlx_inference_backend.py b/studio/backend/tests/test_mlx_inference_backend.py
new file mode 100644
index 0000000000..868e537372
--- /dev/null
+++ b/studio/backend/tests/test_mlx_inference_backend.py
@@ -0,0 +1,157 @@
+# SPDX-License-Identifier: AGPL-3.0-only
+
+import sys
+import types
+from types import SimpleNamespace
+
+
+class _DummyMetal:
+ @staticmethod
+ def is_available():
+ return False
+
+
+class _DummyMX:
+ metal = _DummyMetal()
+
+ @staticmethod
+ def set_wired_limit(_limit):
+ return None
+
+ @staticmethod
+ def device_info():
+ return {"max_recommended_working_set_size": 1024}
+
+
+class _DummyTokenizer:
+ pass
+
+
+class _DummyProcessor:
+ tokenizer = _DummyTokenizer()
+
+
+class _DummyModel:
+ pass
+
+
+def _install_fake_mlx(monkeypatch):
+ mlx_pkg = types.ModuleType("mlx")
+ mlx_core = types.ModuleType("mlx.core")
+ mlx_core.metal = _DummyMetal()
+ mlx_core.set_wired_limit = _DummyMX.set_wired_limit
+ mlx_core.device_info = _DummyMX.device_info
+ mlx_pkg.core = mlx_core
+ monkeypatch.setitem(sys.modules, "mlx", mlx_pkg)
+ monkeypatch.setitem(sys.modules, "mlx.core", mlx_core)
+
+
+def _install_fake_fast_mlx(monkeypatch, calls):
+ class _FastMLXModel:
+ @staticmethod
+ def from_pretrained(*args, **kwargs):
+ calls.append((args, kwargs))
+ if kwargs["text_only"] is False:
+ return _DummyModel(), _DummyProcessor()
+ return _DummyModel(), _DummyTokenizer()
+
+ unsloth_zoo_pkg = types.ModuleType("unsloth_zoo")
+ mlx_loader = types.ModuleType("unsloth_zoo.mlx_loader")
+ mlx_loader.FastMLXModel = _FastMLXModel
+ unsloth_zoo_pkg.mlx_loader = mlx_loader
+ monkeypatch.setitem(sys.modules, "unsloth_zoo", unsloth_zoo_pkg)
+ monkeypatch.setitem(sys.modules, "unsloth_zoo.mlx_loader", mlx_loader)
+
+
+def test_mlx_inference_text_load_forwards_studio_settings(monkeypatch):
+ _install_fake_mlx(monkeypatch)
+ calls = []
+ _install_fake_fast_mlx(monkeypatch, calls)
+
+ from core.inference.mlx_inference import MLXInferenceBackend
+
+ backend = MLXInferenceBackend()
+ config = SimpleNamespace(identifier = "fake/text", is_vision = False, is_lora = False)
+
+ assert backend.load_model(
+ config,
+ max_seq_length = 4096,
+ load_in_4bit = False,
+ hf_token = "hf-token",
+ trust_remote_code = True,
+ dtype = "float16",
+ )
+
+ assert calls == [
+ (
+ ("fake/text",),
+ {
+ "max_seq_length": 4096,
+ "dtype": "float16",
+ "load_in_4bit": False,
+ "token": "hf-token",
+ "trust_remote_code": True,
+ "text_only": True,
+ },
+ )
+ ]
+ assert backend._is_vlm is False
+ assert isinstance(backend._tokenizer, _DummyTokenizer)
+
+
+def test_mlx_inference_vlm_lora_uses_unsloth_loader_without_native_adapter_rewrite(
+ monkeypatch,
+ tmp_path,
+):
+ _install_fake_mlx(monkeypatch)
+ calls = []
+ _install_fake_fast_mlx(monkeypatch, calls)
+
+ def _native_vlm_load(*_args, **_kwargs):
+ raise AssertionError("Studio MLX VLM inference must use FastMLXModel")
+
+ mlx_vlm = types.ModuleType("mlx_vlm")
+ mlx_vlm.load = _native_vlm_load
+ monkeypatch.setitem(sys.modules, "mlx_vlm", mlx_vlm)
+
+ adapter_dir = tmp_path / "adapter"
+ adapter_dir.mkdir()
+ cfg_path = adapter_dir / "adapter_config.json"
+ original_cfg = '{"base_model_name_or_path": "fake/base", "rank": 8}\n'
+ cfg_path.write_text(original_cfg)
+
+ from core.inference.mlx_inference import MLXInferenceBackend
+
+ backend = MLXInferenceBackend()
+ config = SimpleNamespace(
+ identifier = str(adapter_dir),
+ is_vision = True,
+ is_lora = True,
+ base_model = "fake/base",
+ )
+
+ assert backend.load_model(
+ config,
+ max_seq_length = 8192,
+ load_in_4bit = True,
+ hf_token = "hf-token",
+ trust_remote_code = True,
+ )
+
+ assert calls == [
+ (
+ (str(adapter_dir),),
+ {
+ "max_seq_length": 8192,
+ "dtype": None,
+ "load_in_4bit": True,
+ "token": "hf-token",
+ "trust_remote_code": True,
+ "text_only": False,
+ },
+ )
+ ]
+ assert cfg_path.read_text() == original_cfg
+ assert backend._is_vlm is True
+ assert isinstance(backend._processor, _DummyProcessor)
+ assert isinstance(backend._tokenizer, _DummyTokenizer)
diff --git a/studio/backend/tests/test_mlx_training_worker_config.py b/studio/backend/tests/test_mlx_training_worker_config.py
new file mode 100644
index 0000000000..5900af4e3d
--- /dev/null
+++ b/studio/backend/tests/test_mlx_training_worker_config.py
@@ -0,0 +1,83 @@
+# SPDX-License-Identifier: AGPL-3.0-only
+
+import importlib.util
+import sys
+import types
+from pathlib import Path
+
+import pytest
+
+
+def _load_worker_module():
+ stub_names = (
+ "structlog",
+ "loggers",
+ "utils",
+ "utils.hardware",
+ "utils.wheel_utils",
+ )
+ previous_modules = {name: sys.modules.get(name) for name in stub_names}
+
+ try:
+ sys.modules["structlog"] = types.ModuleType("structlog")
+
+ loggers = types.ModuleType("loggers")
+ loggers.get_logger = lambda *_args, **_kwargs: None
+ sys.modules["loggers"] = loggers
+
+ utils = types.ModuleType("utils")
+ utils.__path__ = []
+ sys.modules["utils"] = utils
+
+ hardware = types.ModuleType("utils.hardware")
+ hardware.apply_gpu_ids = lambda *_args, **_kwargs: None
+ sys.modules["utils.hardware"] = hardware
+
+ wheel_utils = types.ModuleType("utils.wheel_utils")
+ for name in (
+ "direct_wheel_url",
+ "flash_attn_wheel_url",
+ "install_wheel",
+ "probe_torch_wheel_env",
+ "url_exists",
+ ):
+ setattr(wheel_utils, name, lambda *_args, **_kwargs: None)
+ sys.modules["utils.wheel_utils"] = wheel_utils
+
+ worker_path = (
+ Path(__file__).resolve().parents[1] / "core" / "training" / "worker.py"
+ )
+ spec = importlib.util.spec_from_file_location(
+ "mlx_training_worker_under_test", worker_path
+ )
+ module = importlib.util.module_from_spec(spec)
+ assert spec.loader is not None
+ spec.loader.exec_module(module)
+ return module
+ finally:
+ for name, module in previous_modules.items():
+ if module is None:
+ sys.modules.pop(name, None)
+ else:
+ sys.modules[name] = module
+
+
+_worker = _load_worker_module()
+_normalize_mlx_studio_optimizer = _worker._normalize_mlx_studio_optimizer
+_normalize_mlx_studio_scheduler = _worker._normalize_mlx_studio_scheduler
+
+
+def test_mlx_studio_optimizer_aliases_are_explicit():
+ assert _normalize_mlx_studio_optimizer("adamw_8bit") == "adamw"
+ assert _normalize_mlx_studio_optimizer("paged_adamw_8bit") == "adamw"
+ assert _normalize_mlx_studio_optimizer("adafactor") == "adafactor"
+
+
+def test_mlx_studio_rejects_unknown_optimizer():
+ with pytest.raises(ValueError, match = "Unsupported optimizer for MLX training"):
+ _normalize_mlx_studio_optimizer("adamw_typo")
+
+
+def test_mlx_studio_rejects_unknown_scheduler():
+ with pytest.raises(ValueError, match = "Unsupported LR scheduler for MLX training"):
+ _normalize_mlx_studio_scheduler("linear_typo")
diff --git a/studio/backend/utils/hardware/hardware.py b/studio/backend/utils/hardware/hardware.py
index c218b7b4b9..3764e38272 100644
--- a/studio/backend/utils/hardware/hardware.py
+++ b/studio/backend/utils/hardware/hardware.py
@@ -143,6 +143,7 @@ def detect_hardware() -> DeviceType:
# --- MLX: Apple Silicon ---
if is_apple_silicon() and _has_mlx():
DEVICE = DeviceType.MLX
+ CHAT_ONLY = False
chip = platform.processor() or platform.machine()
print(f"Hardware detected: MLX — Apple Silicon ({chip})")
return DEVICE
@@ -270,19 +271,30 @@ def get_gpu_memory_info() -> Dict[str, Any]:
import mlx.core as mx
import psutil
- # MLX uses unified memory — report system memory as the pool
+ # MLX uses unified memory. Total = system RAM. GPU memory used
+ # comes from IORegistry's AGXAccelerator (system-wide, no sudo).
total = psutil.virtual_memory().total
- # MLX doesn't expose per-process GPU allocation; report 0 as allocated
- allocated = 0
+ agx = _read_apple_gpu_stats()
+ allocated = agx.get("vram_used_bytes", 0) if agx else 0
+
+ try:
+ info = mx.device_info()
+ gpu_name = (
+ info.get("device_name")
+ or platform.processor()
+ or platform.machine()
+ )
+ except Exception:
+ gpu_name = platform.processor() or platform.machine()
return {
"available": True,
"backend": _backend_label(device),
"device": 0,
- "device_name": f"Apple Silicon ({platform.processor() or platform.machine()})",
+ "device_name": f"Apple Silicon ({gpu_name})",
"total_gb": total / (1024**3),
"allocated_gb": allocated / (1024**3),
- "reserved_gb": 0,
+ "reserved_gb": allocated / (1024**3),
"free_gb": (total - allocated) / (1024**3),
"utilization_pct": (allocated / total) * 100 if total else 0,
}
@@ -460,6 +472,39 @@ def _smi_query(func_name: str, *args, **kwargs) -> Optional[Dict[str, Any]]:
return None
+def _read_apple_gpu_stats() -> Dict[str, Any]:
+ """Query macOS IORegistry for AGX (Apple GPU) live stats. No sudo needed.
+
+ Returns dict with utilization_pct, vram_used_bytes (system-wide GPU memory).
+ Returns empty dict on failure.
+ """
+ import subprocess
+ import re
+
+ try:
+ result = subprocess.run(
+ ["ioreg", "-r", "-c", "AGXAccelerator"],
+ capture_output = True,
+ timeout = 2,
+ )
+ text = result.stdout.decode("utf-8", errors = "replace")
+ except Exception:
+ return {}
+
+ # PerformanceStatistics block has GPU utilization and in-use memory
+ m = re.search(r'"PerformanceStatistics" = \{([^}]+)\}', text)
+ if not m:
+ return {}
+ stats_str = m.group(1)
+ pairs = re.findall(r'"([^"]+)"=(\d+)', stats_str)
+ stats = {k: int(v) for k, v in pairs}
+
+ return {
+ "utilization_pct": stats.get("Device Utilization %", 0),
+ "vram_used_bytes": stats.get("In use system memory", 0),
+ }
+
+
def get_gpu_utilization() -> Dict[str, Any]:
"""Return a live snapshot of device utilization information."""
device = get_device()
@@ -470,6 +515,50 @@ def get_gpu_utilization() -> Dict[str, Any]:
result["backend"] = _backend_label(device)
return result
+ # MLX path: single _read_apple_gpu_stats() call carries both VRAM-used
+ # bytes and GPU utilization %. psutil for unified-memory total is cheap.
+ if device == DeviceType.MLX:
+ try:
+ import psutil
+
+ agx = _read_apple_gpu_stats()
+ total_bytes = psutil.virtual_memory().total
+ except Exception as e:
+ logger.error(f"Error getting MLX GPU utilization: {e}")
+ return {"available": False, "backend": device.value, "error": str(e)}
+ if not agx:
+ return {"available": False, "backend": device.value}
+ allocated_bytes = agx.get("vram_used_bytes", 0) or 0
+ vram_used_gb = allocated_bytes / (1024**3)
+ total_gb = total_bytes / (1024**3)
+
+ try:
+ from core.training import get_training_backend
+
+ tb = get_training_backend()
+ tb_progress = getattr(tb, "_progress", None)
+ if tb_progress is not None and getattr(tb_progress, "is_training", False):
+ tb_peak = getattr(tb_progress, "peak_memory_gb", None)
+ if tb_peak is not None and tb_peak > 0:
+ vram_used_gb = float(tb_peak)
+ except Exception:
+ pass
+
+ return {
+ "available": True,
+ "backend": device.value,
+ "gpu_utilization_pct": agx.get("utilization_pct") if agx else None,
+ "temperature_c": None,
+ "vram_used_gb": round(vram_used_gb, 2),
+ "vram_total_gb": round(total_gb, 2),
+ "vram_utilization_pct": (
+ round((vram_used_gb / total_gb) * 100, 1) if total_gb > 0 else None
+ ),
+ "power_draw_w": None,
+ "power_limit_w": None,
+ "power_utilization_pct": None,
+ }
+
mem = get_gpu_memory_info()
if device != DeviceType.CPU and mem.get("available"):
return {
diff --git a/studio/backend/utils/models/model_config.py b/studio/backend/utils/models/model_config.py
index 16f6d21edb..dc8dd08315 100644
--- a/studio/backend/utils/models/model_config.py
+++ b/studio/backend/utils/models/model_config.py
@@ -500,7 +500,9 @@ _VLM_MODEL_TYPES = {
# Pre-computed .venv_t5 paths and backend dir for subprocess version switching.
# Vision check uses 5.5.0 (newest, recognizes all architectures).
-_VENV_T5_DIR = str(Path.home() / ".unsloth" / "studio" / ".venv_t5_550")
+from utils.paths.storage_roots import studio_root as _studio_root # noqa: E402
+
+_VENV_T5_DIR = str(_studio_root() / ".venv_t5_550")
_BACKEND_DIR = str(Path(__file__).resolve().parent.parent.parent)
# Inline script executed in a subprocess with transformers 5.x activated.
diff --git a/studio/backend/utils/paths/storage_roots.py b/studio/backend/utils/paths/storage_roots.py
index b52609b06b..58a4d7967c 100644
--- a/studio/backend/utils/paths/storage_roots.py
+++ b/studio/backend/utils/paths/storage_roots.py
@@ -5,17 +5,59 @@ from __future__ import annotations
import json
import os
+import sys
from pathlib import Path
import tempfile
+def _infer_studio_home_from_venv() -> Path | None:
+ """Return parent dir of sys.prefix as STUDIO_HOME if running from an
+ installer-managed unsloth_studio venv. Sentinel-gated (share/studio.conf
+ or bin shim) so a developer venv named unsloth_studio is not misidentified.
+ """
+ try:
+ prefix = Path(sys.prefix).resolve()
+ except (OSError, ValueError):
+ return None
+ if prefix.name != "unsloth_studio":
+ return None
+ candidate = prefix.parent
+ shim_name = "unsloth.exe" if os.name == "nt" else "unsloth"
+ try:
+ has_sentinel = (candidate / "share" / "studio.conf").is_file() or (
+ candidate / "bin" / shim_name
+ ).is_file()
+ except OSError:
+ return None
+ if has_sentinel:
+ return candidate
+ return None
+
+
def studio_root() -> Path:
+ """Studio install root.
+
+ Priority: UNSLOTH_STUDIO_HOME, then STUDIO_HOME alias, then sys.prefix
+ inference, then legacy ~/.unsloth/studio. UNSLOTH_STUDIO_HOME wins when
+ both are set (the more specific signal beats the generic alias).
+ """
+ override = (os.environ.get("UNSLOTH_STUDIO_HOME") or "").strip()
+ if not override:
+ override = (os.environ.get("STUDIO_HOME") or "").strip()
+ if override:
+ try:
+ return Path(override).expanduser().resolve()
+ except (OSError, ValueError):
+ return Path(override).expanduser()
+ inferred = _infer_studio_home_from_venv()
+ if inferred is not None:
+ return inferred
return Path.home() / ".unsloth" / "studio"
def cache_root() -> Path:
"""Central cache directory for all studio downloads (models, datasets, etc.)."""
- return Path.home() / ".unsloth" / "studio" / "cache"
+ return studio_root() / "cache"
def assets_root() -> Path:
diff --git a/studio/backend/utils/transformers_version.py b/studio/backend/utils/transformers_version.py
index 17af40f663..9075c590ca 100644
--- a/studio/backend/utils/transformers_version.py
+++ b/studio/backend/utils/transformers_version.py
@@ -95,9 +95,11 @@ TRANSFORMERS_DEFAULT_VERSION = "4.57.6"
# Consumers should prefer TRANSFORMERS_530_VERSION / TRANSFORMERS_550_VERSION.
TRANSFORMERS_5_VERSION = TRANSFORMERS_550_VERSION
-# Pre-installed directories — created by setup.sh / setup.ps1
-_VENV_T5_530_DIR = str(Path.home() / ".unsloth" / "studio" / ".venv_t5_530")
-_VENV_T5_550_DIR = str(Path.home() / ".unsloth" / "studio" / ".venv_t5_550")
+# Pre-installed directories — created by setup.sh / setup.ps1.
+from utils.paths.storage_roots import studio_root as _studio_root # noqa: E402
+
+_VENV_T5_530_DIR = str(_studio_root() / ".venv_t5_530")
+_VENV_T5_550_DIR = str(_studio_root() / ".venv_t5_550")
# Backwards-compat alias
_VENV_T5_DIR = _VENV_T5_550_DIR
diff --git a/studio/frontend/package-lock.json b/studio/frontend/package-lock.json
new file mode 100644
index 0000000000..ed2ceb550e
--- /dev/null
+++ b/studio/frontend/package-lock.json
@@ -0,0 +1,16817 @@
+{
+ "name": "unsloth-theme",
+ "version": "0.0.0",
+ "lockfileVersion": 3,
+ "requires": true,
+ "packages": {
+ "": {
+ "name": "unsloth-theme",
+ "version": "0.0.0",
+ "dependencies": {
+ "@assistant-ui/core": "0.1.17",
+ "@assistant-ui/react": "0.12.28",
+ "@assistant-ui/react-markdown": "0.12.11",
+ "@assistant-ui/react-streamdown": "0.1.11",
+ "@base-ui/react": "^1.2.0",
+ "@dagrejs/dagre": "^2.0.4",
+ "@dagrejs/graphlib": "^3.0.4",
+ "@fontsource-variable/figtree": "^5.2.10",
+ "@fontsource-variable/inter": "^5.2.8",
+ "@fontsource-variable/space-grotesk": "^5.2.10",
+ "@hugeicons/core-free-icons": "^4.1.1",
+ "@hugeicons/react": "^1.1.5",
+ "@huggingface/hub": "^2.9.0",
+ "@langchain/core": "^1.1.27",
+ "@radix-ui/react-checkbox": "^1.3.3",
+ "@radix-ui/react-label": "^2.1.8",
+ "@radix-ui/react-select": "^2.2.6",
+ "@radix-ui/react-separator": "^1.1.8",
+ "@radix-ui/react-slot": "^1.2.4",
+ "@streamdown/cjk": "1.0.3",
+ "@streamdown/code": "1.1.1",
+ "@streamdown/math": "1.0.2",
+ "@streamdown/mermaid": "1.0.2",
+ "@tailwindcss/vite": "^4.2.2",
+ "@tanstack/react-router": "^1.159.10",
+ "@tanstack/react-table": "^8.21.3",
+ "@tauri-apps/api": "^2.10.1",
+ "@tauri-apps/plugin-clipboard-manager": "^2.3.2",
+ "@tauri-apps/plugin-notification": "^2.3.3",
+ "@tauri-apps/plugin-opener": "^2.5.3",
+ "@tauri-apps/plugin-process": "^2.3.1",
+ "@tauri-apps/plugin-updater": "^2.10.1",
+ "@toolwind/corner-shape": "^0.0.8-3",
+ "@types/canvas-confetti": "^1.9.0",
+ "@xyflow/react": "^12.10.0",
+ "assistant-stream": "0.3.12",
+ "canvas-confetti": "^1.9.4",
+ "class-variance-authority": "^0.7.1",
+ "clsx": "^2.1.1",
+ "cmdk": "^1.1.1",
+ "date-fns": "^4.1.0",
+ "dexie": "^4.3.0",
+ "js-yaml": "^4.1.1",
+ "katex": "^0.16.28",
+ "lucide-react": "^1.7.0",
+ "mammoth": "^1.11.0",
+ "motion": "^12.34.0",
+ "next": "^16.1.6",
+ "next-themes": "^0.4.6",
+ "radix-ui": "^1.4.3",
+ "react": "^19.2.4",
+ "react-day-picker": "^9.13.2",
+ "react-dom": "^19.2.4",
+ "react-resizable-panels": "^4.6.4",
+ "recharts": "3.7.0",
+ "remark-gfm": "^4.0.1",
+ "shadcn": "^4.2.0",
+ "sonner": "^2.0.7",
+ "streamdown": "2.5.0",
+ "tailwind-merge": "^3.4.0",
+ "tailwindcss": "^4.1.18",
+ "tw-animate-css": "^1.4.0",
+ "tw-shimmer": "^0.4.6",
+ "unpdf": "^1.4.0",
+ "zustand": "^5.0.11"
+ },
+ "devDependencies": {
+ "@biomejs/biome": "^1.9.4",
+ "@eslint/js": "^9.39.1",
+ "@types/js-yaml": "^4.0.9",
+ "@types/node": "^25.5.2",
+ "@types/react": "^19.2.5",
+ "@types/react-dom": "^19.2.3",
+ "@vitejs/plugin-react": "^6.0.1",
+ "eslint": "^9.39.1",
+ "eslint-plugin-react-hooks": "^7.0.1",
+ "eslint-plugin-react-refresh": "^0.5.2",
+ "globals": "^17.4.0",
+ "playwright": "^1.59.1",
+ "typescript": "~5.9.3",
+ "typescript-eslint": "^8.55.0",
+ "vite": "^8.0.1"
+ },
+ "engines": {
+ "node": "^20.19.0 || >=22.12.0"
+ }
+ },
+ "node_modules/@antfu/install-pkg": {
+ "version": "1.1.0",
+ "resolved": "https://registry.npmjs.org/@antfu/install-pkg/-/install-pkg-1.1.0.tgz",
+ "integrity": "sha512-MGQsmw10ZyI+EJo45CdSER4zEb+p31LpDAFp2Z3gkSd1yqVZGi0Ebx++YTEMonJy4oChEMLsxZ64j8FH6sSqtQ==",
+ "license": "MIT",
+ "dependencies": {
+ "package-manager-detector": "^1.3.0",
+ "tinyexec": "^1.0.1"
+ },
+ "funding": {
+ "url": "https://github.com/sponsors/antfu"
+ }
+ },
+ "node_modules/@assistant-ui/core": {
+ "version": "0.1.17",
+ "resolved": "https://registry.npmjs.org/@assistant-ui/core/-/core-0.1.17.tgz",
+ "integrity": "sha512-IWIP98UVQ9W+oF0yz8XqFRtaX8HtozWVUWt6D/BSV6cyKwLfJ8niHtLG74bSnllTnGcreU2El3GR/tIodR1XuA==",
+ "license": "MIT",
+ "dependencies": {
+ "assistant-stream": "^0.3.12",
+ "nanoid": "^5.1.9"
+ },
+ "peerDependencies": {
+ "@assistant-ui/store": "^0.2.9",
+ "@assistant-ui/tap": "^0.5.10",
+ "@types/react": "*",
+ "assistant-cloud": "^0.1.27",
+ "react": "^18 || ^19",
+ "zustand": "^5.0.11"
+ },
+ "peerDependenciesMeta": {
+ "@types/react": {
+ "optional": true
+ },
+ "assistant-cloud": {
+ "optional": true
+ },
+ "react": {
+ "optional": true
+ },
+ "zustand": {
+ "optional": true
+ }
+ }
+ },
+ "node_modules/@assistant-ui/react": {
+ "version": "0.12.28",
+ "resolved": "https://registry.npmjs.org/@assistant-ui/react/-/react-0.12.28.tgz",
+ "integrity": "sha512-czjpexLK1lKnNDNM1YMJi8SufeKUWBICqiVUtiHMV+86PYGCwJykOZKkchI8MVbSQ62xZ8A1LfPO5W2IDjed3A==",
+ "license": "MIT",
+ "dependencies": {
+ "@assistant-ui/core": "^0.1.17",
+ "@assistant-ui/store": "^0.2.9",
+ "@assistant-ui/tap": "^0.5.10",
+ "@radix-ui/primitive": "^1.1.3",
+ "@radix-ui/react-compose-refs": "^1.1.2",
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+ "assistant-stream": "^0.3.12",
+ "nanoid": "^5.1.9",
+ "radix-ui": "^1.4.3",
+ "react-textarea-autosize": "^8.5.9",
+ "zod": "^4.3.6",
+ "zustand": "^5.0.12"
+ },
+ "peerDependencies": {
+ "@types/react": "*",
+ "@types/react-dom": "*",
+ "react": "^18 || ^19",
+ "react-dom": "^18 || ^19"
+ },
+ "peerDependenciesMeta": {
+ "@types/react": {
+ "optional": true
+ },
+ "@types/react-dom": {
+ "optional": true
+ }
+ }
+ },
+ "node_modules/@assistant-ui/react-markdown": {
+ "version": "0.12.11",
+ "resolved": "https://registry.npmjs.org/@assistant-ui/react-markdown/-/react-markdown-0.12.11.tgz",
+ "integrity": "sha512-gYu4XVI2lX3lp9UG7V5VWP1+eO7SZomiBKsAZOKUOeuwn/hoL+J0vFY52FUgJixdF2R8NPPto2lb98DmJE70lA==",
+ "license": "MIT",
+ "dependencies": {
+ "@radix-ui/react-primitive": "^2.1.4",
+ "@radix-ui/react-use-callback-ref": "^1.1.1",
+ "classnames": "^2.5.1",
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+ },
+ "peerDependencies": {
+ "@assistant-ui/react": "^0.12.26",
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+ "react": "^18 || ^19"
+ },
+ "peerDependenciesMeta": {
+ "@types/react": {
+ "optional": true
+ }
+ }
+ },
+ "node_modules/@assistant-ui/react-streamdown": {
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+ "resolved": "https://registry.npmjs.org/@assistant-ui/react-streamdown/-/react-streamdown-0.1.11.tgz",
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+ "license": "MIT",
+ "dependencies": {
+ "rehype-harden": "^1.1.8",
+ "rehype-raw": "^7.0.0",
+ "rehype-sanitize": "^6.0.0",
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+ },
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+ "@streamdown/code": "^1.0.0",
+ "@streamdown/math": "^1.0.0",
+ "@streamdown/mermaid": "^1.0.0",
+ "@types/react": "*",
+ "react": "^18 || ^19"
+ },
+ "peerDependenciesMeta": {
+ "@streamdown/cjk": {
+ "optional": true
+ },
+ "@streamdown/code": {
+ "optional": true
+ },
+ "@streamdown/math": {
+ "optional": true
+ },
+ "@streamdown/mermaid": {
+ "optional": true
+ },
+ "@types/react": {
+ "optional": true
+ }
+ }
+ },
+ "node_modules/@assistant-ui/store": {
+ "version": "0.2.9",
+ "resolved": "https://registry.npmjs.org/@assistant-ui/store/-/store-0.2.9.tgz",
+ "integrity": "sha512-EDd6yCfirb2OsAKoTo7HeMtqPG+1cqVlNXOzUsho35ZF3O1XQ2CyEY4iUbdhj3HfmWeZo7rmfhvbaYQVEqAfeA==",
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+ "dependencies": {
+ "use-effect-event": "^2.0.3"
+ },
+ "peerDependencies": {
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+ "@types/react": "*",
+ "react": "^18 || ^19"
+ },
+ "peerDependenciesMeta": {
+ "@types/react": {
+ "optional": true
+ }
+ }
+ },
+ "node_modules/@assistant-ui/tap": {
+ "version": "0.5.10",
+ "resolved": "https://registry.npmjs.org/@assistant-ui/tap/-/tap-0.5.10.tgz",
+ "integrity": "sha512-sBHTf+q1geRyu5l4gJJp2hk6ZxwhHZHj39ixjC9ARADuIYedYv1B8bCNS82eTC/COpD1xe86mzvT/+HwIsO9WA==",
+ "license": "MIT",
+ "peerDependencies": {
+ "@types/react": "*",
+ "react": "^18 || ^19"
+ },
+ "peerDependenciesMeta": {
+ "@types/react": {
+ "optional": true
+ },
+ "react": {
+ "optional": true
+ }
+ }
+ },
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+ "dependencies": {
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+ "picocolors": "^1.1.1"
+ },
+ "engines": {
+ "node": ">=6.9.0"
+ }
+ },
+ "node_modules/@babel/compat-data": {
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+ "engines": {
+ "node": ">=6.9.0"
+ }
+ },
+ "node_modules/@babel/core": {
+ "version": "7.29.0",
+ "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.29.0.tgz",
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+ },
+ "funding": {
+ "type": "opencollective",
+ "url": "https://opencollective.com/babel"
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+ },
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+ "engines": {
+ "node": ">=6.9.0"
+ }
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+ "dependencies": {
+ "@babel/compat-data": "^7.28.6",
+ "@babel/helper-validator-option": "^7.27.1",
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+ "lru-cache": "^5.1.1",
+ "semver": "^6.3.1"
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+ "engines": {
+ "node": ">=6.9.0"
+ }
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+ "resolved": "https://registry.npmjs.org/@babel/helper-create-class-features-plugin/-/helper-create-class-features-plugin-7.29.3.tgz",
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+ "license": "MIT",
+ "dependencies": {
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+ "semver": "^6.3.1"
+ },
+ "engines": {
+ "node": ">=6.9.0"
+ },
+ "peerDependencies": {
+ "@babel/core": "^7.0.0"
+ }
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+ "license": "MIT",
+ "dependencies": {
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+ },
+ "bin": {
+ "installServerIntoExtension": "bin/installServerIntoExtension"
+ }
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+ "license": "MIT",
+ "dependencies": {
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+ "vscode-languageserver-types": "3.17.5"
+ }
+ },
+ "node_modules/vscode-languageserver-textdocument": {
+ "version": "1.0.12",
+ "resolved": "https://registry.npmjs.org/vscode-languageserver-textdocument/-/vscode-languageserver-textdocument-1.0.12.tgz",
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+ "license": "MIT"
+ },
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+ "license": "MIT"
+ },
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+ "resolved": "https://registry.npmjs.org/vscode-uri/-/vscode-uri-3.1.0.tgz",
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+ "license": "MIT"
+ },
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+ "resolved": "https://registry.npmjs.org/web-namespaces/-/web-namespaces-2.0.1.tgz",
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+ "license": "MIT",
+ "funding": {
+ "type": "github",
+ "url": "https://github.com/sponsors/wooorm"
+ }
+ },
+ "node_modules/web-streams-polyfill": {
+ "version": "3.3.3",
+ "resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-3.3.3.tgz",
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+ "license": "MIT",
+ "engines": {
+ "node": ">= 8"
+ }
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+ "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
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+ "license": "ISC",
+ "dependencies": {
+ "isexe": "^2.0.0"
+ },
+ "bin": {
+ "node-which": "bin/node-which"
+ },
+ "engines": {
+ "node": ">= 8"
+ }
+ },
+ "node_modules/word-wrap": {
+ "version": "1.2.5",
+ "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz",
+ "integrity": "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==",
+ "dev": true,
+ "license": "MIT",
+ "engines": {
+ "node": ">=0.10.0"
+ }
+ },
+ "node_modules/wrap-ansi": {
+ "version": "7.0.0",
+ "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz",
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+ "license": "MIT",
+ "dependencies": {
+ "ansi-styles": "^4.0.0",
+ "string-width": "^4.1.0",
+ "strip-ansi": "^6.0.0"
+ },
+ "engines": {
+ "node": ">=10"
+ },
+ "funding": {
+ "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
+ }
+ },
+ "node_modules/wrap-ansi/node_modules/ansi-regex": {
+ "version": "5.0.1",
+ "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz",
+ "integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==",
+ "license": "MIT",
+ "engines": {
+ "node": ">=8"
+ }
+ },
+ "node_modules/wrap-ansi/node_modules/ansi-styles": {
+ "version": "4.3.0",
+ "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
+ "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
+ "license": "MIT",
+ "dependencies": {
+ "color-convert": "^2.0.1"
+ },
+ "engines": {
+ "node": ">=8"
+ },
+ "funding": {
+ "url": "https://github.com/chalk/ansi-styles?sponsor=1"
+ }
+ },
+ "node_modules/wrap-ansi/node_modules/strip-ansi": {
+ "version": "6.0.1",
+ "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
+ "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
+ "license": "MIT",
+ "dependencies": {
+ "ansi-regex": "^5.0.1"
+ },
+ "engines": {
+ "node": ">=8"
+ }
+ },
+ "node_modules/wrappy": {
+ "version": "1.0.2",
+ "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
+ "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
+ "license": "ISC"
+ },
+ "node_modules/wsl-utils": {
+ "version": "0.3.1",
+ "resolved": "https://registry.npmjs.org/wsl-utils/-/wsl-utils-0.3.1.tgz",
+ "integrity": "sha512-g/eziiSUNBSsdDJtCLB8bdYEUMj4jR7AGeUo96p/3dTafgjHhpF4RiCFPiRILwjQoDXx5MqkBr4fwWtR3Ky4Wg==",
+ "license": "MIT",
+ "dependencies": {
+ "is-wsl": "^3.1.0",
+ "powershell-utils": "^0.1.0"
+ },
+ "engines": {
+ "node": ">=20"
+ },
+ "funding": {
+ "url": "https://github.com/sponsors/sindresorhus"
+ }
+ },
+ "node_modules/xmlbuilder": {
+ "version": "10.1.1",
+ "resolved": "https://registry.npmjs.org/xmlbuilder/-/xmlbuilder-10.1.1.tgz",
+ "integrity": "sha512-OyzrcFLL/nb6fMGHbiRDuPup9ljBycsdCypwuyg5AAHvyWzGfChJpCXMG88AGTIMFhGZ9RccFN1e6lhg3hkwKg==",
+ "license": "MIT",
+ "engines": {
+ "node": ">=4.0"
+ }
+ },
+ "node_modules/y18n": {
+ "version": "5.0.8",
+ "resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz",
+ "integrity": "sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA==",
+ "license": "ISC",
+ "engines": {
+ "node": ">=10"
+ }
+ },
+ "node_modules/yallist": {
+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
+ "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==",
+ "license": "ISC"
+ },
+ "node_modules/yargs": {
+ "version": "17.7.2",
+ "resolved": "https://registry.npmjs.org/yargs/-/yargs-17.7.2.tgz",
+ "integrity": "sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w==",
+ "license": "MIT",
+ "dependencies": {
+ "cliui": "^8.0.1",
+ "escalade": "^3.1.1",
+ "get-caller-file": "^2.0.5",
+ "require-directory": "^2.1.1",
+ "string-width": "^4.2.3",
+ "y18n": "^5.0.5",
+ "yargs-parser": "^21.1.1"
+ },
+ "engines": {
+ "node": ">=12"
+ }
+ },
+ "node_modules/yargs-parser": {
+ "version": "21.1.1",
+ "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-21.1.1.tgz",
+ "integrity": "sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==",
+ "license": "ISC",
+ "engines": {
+ "node": ">=12"
+ }
+ },
+ "node_modules/yocto-queue": {
+ "version": "0.1.0",
+ "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
+ "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",
+ "dev": true,
+ "license": "MIT",
+ "engines": {
+ "node": ">=10"
+ },
+ "funding": {
+ "url": "https://github.com/sponsors/sindresorhus"
+ }
+ },
+ "node_modules/yocto-spinner": {
+ "version": "1.2.0",
+ "resolved": "https://registry.npmjs.org/yocto-spinner/-/yocto-spinner-1.2.0.tgz",
+ "integrity": "sha512-Yw0hUB6UA3o4YUgKy3oSe9a4cxoaZ9sBfYDw+JSxo6Id0KoJGoxzPA24qqUXYKBWABs/zDSGTz9kww7t3F0XGw==",
+ "license": "MIT",
+ "dependencies": {
+ "yoctocolors": "^2.1.1"
+ },
+ "engines": {
+ "node": ">=18.19"
+ },
+ "funding": {
+ "url": "https://github.com/sponsors/sindresorhus"
+ }
+ },
+ "node_modules/yoctocolors": {
+ "version": "2.1.2",
+ "resolved": "https://registry.npmjs.org/yoctocolors/-/yoctocolors-2.1.2.tgz",
+ "integrity": "sha512-CzhO+pFNo8ajLM2d2IW/R93ipy99LWjtwblvC1RsoSUMZgyLbYFr221TnSNT7GjGdYui6P459mw9JH/g/zW2ug==",
+ "license": "MIT",
+ "engines": {
+ "node": ">=18"
+ },
+ "funding": {
+ "url": "https://github.com/sponsors/sindresorhus"
+ }
+ },
+ "node_modules/zod": {
+ "version": "4.4.3",
+ "resolved": "https://registry.npmjs.org/zod/-/zod-4.4.3.tgz",
+ "integrity": "sha512-ytENFjIJFl2UwYglde2jchW2Hwm4GJFLDiSXWdTrJQBIN9Fcyp7n4DhxJEiWNAJMV1/BqWfW/kkg71UDcHJyTQ==",
+ "license": "MIT",
+ "funding": {
+ "url": "https://github.com/sponsors/colinhacks"
+ }
+ },
+ "node_modules/zod-to-json-schema": {
+ "version": "3.25.2",
+ "resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.25.2.tgz",
+ "integrity": "sha512-O/PgfnpT1xKSDeQYSCfRI5Gy3hPf91mKVDuYLUHZJMiDFptvP41MSnWofm8dnCm0256ZNfZIM7DSzuSMAFnjHA==",
+ "license": "ISC",
+ "peerDependencies": {
+ "zod": "^3.25.28 || ^4"
+ }
+ },
+ "node_modules/zod-validation-error": {
+ "version": "4.0.2",
+ "resolved": "https://registry.npmjs.org/zod-validation-error/-/zod-validation-error-4.0.2.tgz",
+ "integrity": "sha512-Q6/nZLe6jxuU80qb/4uJ4t5v2VEZ44lzQjPDhYJNztRQ4wyWc6VF3D3Kb/fAuPetZQnhS3hnajCf9CsWesghLQ==",
+ "dev": true,
+ "license": "MIT",
+ "engines": {
+ "node": ">=18.0.0"
+ },
+ "peerDependencies": {
+ "zod": "^3.25.0 || ^4.0.0"
+ }
+ },
+ "node_modules/zustand": {
+ "version": "5.0.13",
+ "resolved": "https://registry.npmjs.org/zustand/-/zustand-5.0.13.tgz",
+ "integrity": "sha512-efI2tVaVQPqtOh114loML/Z80Y4NP3yc+Ff0fYiZJPauNeWZeIp/bRFD7I9bfmCOYBh/PHxlglQ9+wvlwnPikQ==",
+ "license": "MIT",
+ "engines": {
+ "node": ">=12.20.0"
+ },
+ "peerDependencies": {
+ "@types/react": ">=18.0.0",
+ "immer": ">=9.0.6",
+ "react": ">=18.0.0",
+ "use-sync-external-store": ">=1.2.0"
+ },
+ "peerDependenciesMeta": {
+ "@types/react": {
+ "optional": true
+ },
+ "immer": {
+ "optional": true
+ },
+ "react": {
+ "optional": true
+ },
+ "use-sync-external-store": {
+ "optional": true
+ }
+ }
+ },
+ "node_modules/zwitch": {
+ "version": "2.0.4",
+ "resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz",
+ "integrity": "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==",
+ "license": "MIT",
+ "funding": {
+ "type": "github",
+ "url": "https://github.com/sponsors/wooorm"
+ }
+ }
+ }
+}
diff --git a/studio/frontend/package.json b/studio/frontend/package.json
index 9e6ac76ff4..e15458bf1c 100644
--- a/studio/frontend/package.json
+++ b/studio/frontend/package.json
@@ -17,9 +17,9 @@
},
"dependencies": {
"@assistant-ui/core": "0.1.17",
- "@assistant-ui/react": "^0.12.19",
- "@assistant-ui/react-markdown": "^0.12.3",
- "@assistant-ui/react-streamdown": "^0.1.2",
+ "@assistant-ui/react": "0.12.28",
+ "@assistant-ui/react-markdown": "0.12.11",
+ "@assistant-ui/react-streamdown": "0.1.11",
"@base-ui/react": "^1.2.0",
"@dagrejs/dagre": "^2.0.4",
"@dagrejs/graphlib": "^3.0.4",
@@ -51,7 +51,7 @@
"@toolwind/corner-shape": "^0.0.8-3",
"@types/canvas-confetti": "^1.9.0",
"@xyflow/react": "^12.10.0",
- "assistant-stream": "^0.3.2",
+ "assistant-stream": "0.3.12",
"canvas-confetti": "^1.9.4",
"class-variance-authority": "^0.7.1",
"clsx": "^2.1.1",
diff --git a/studio/frontend/src/components/app-sidebar.tsx b/studio/frontend/src/components/app-sidebar.tsx
index edcd5120eb..171b4eb92d 100644
--- a/studio/frontend/src/components/app-sidebar.tsx
+++ b/studio/frontend/src/components/app-sidebar.tsx
@@ -37,13 +37,12 @@ import {
Delete02Icon,
Download03Icon,
GemIcon,
- Globe02Icon,
Search01Icon,
PowerIcon,
PencilEdit02Icon,
LayoutAlignLeftIcon,
- HelpCircleIcon,
Settings02Icon,
+ SourceCodeSquareIcon,
ZapIcon,
} from "@hugeicons/core-free-icons";
import {
@@ -528,7 +527,7 @@ export function AppSidebar() {
{displayTitle}
- Unsloth
+ Studio
@@ -549,8 +548,8 @@ export function AppSidebar() {
useSettingsDialogStore.getState().openDialog("api-keys")}
>
-
- API
+
+ Developer
New
@@ -579,12 +578,6 @@ export function AppSidebar() {
- useSettingsDialogStore.getState().openDialog("about")}
- >
-
- Help
-
setShutdownOpen(true)}>
Shutdown
diff --git a/studio/frontend/src/config/env.ts b/studio/frontend/src/config/env.ts
index 72bb3fa815..3839706d25 100644
--- a/studio/frontend/src/config/env.ts
+++ b/studio/frontend/src/config/env.ts
@@ -50,7 +50,7 @@ export async function fetchDeviceType(): Promise {
if (res.ok) {
const data = (await res.json()) as { device_type?: string; chat_only?: boolean };
const deviceType = data.device_type ?? detectLocalPlatform();
- const chatOnly = data.chat_only ?? deviceType === "mac";
+ const chatOnly = data.chat_only ?? false;
usePlatformStore.setState({ deviceType, chatOnly, fetched: true });
return deviceType;
}
diff --git a/studio/frontend/src/features/chat/runtime-provider.tsx b/studio/frontend/src/features/chat/runtime-provider.tsx
index 546cc21ed2..1133e759ac 100644
--- a/studio/frontend/src/features/chat/runtime-provider.tsx
+++ b/studio/frontend/src/features/chat/runtime-provider.tsx
@@ -9,8 +9,8 @@ import {
ExportedMessageRepository,
type ExportedMessageRepositoryItem,
type PendingAttachment,
- RuntimeAdapterProvider,
Suggestions,
+ type LocalRuntimeOptions,
type ThreadHistoryAdapter,
type ThreadMessage,
WebSpeechDictationAdapter,
@@ -583,9 +583,9 @@ function createDexieAdapter(
};
}
-function ThreadHistoryProvider({
- children,
-}: { children?: ReactNode }): ReactElement {
+type StudioRuntimeAdapters = NonNullable;
+
+function useStudioRuntimeAdapters(): StudioRuntimeAdapters {
const aui = useAui();
const history = useMemo(
@@ -711,17 +711,14 @@ function ThreadHistoryProvider({
[history, dictation, attachments],
);
- return (
-
- {children}
-
- );
+ return adapters;
}
const chatAdapter = createOpenAIStreamAdapter();
function useRuntimeHook(): ReturnType {
- return useLocalRuntime(chatAdapter);
+ const adapters = useStudioRuntimeAdapters();
+ return useLocalRuntime(chatAdapter, { adapters });
}
function ThreadAutoSwitch({
@@ -898,10 +895,7 @@ export function ChatRuntimeProvider({
}): ReactElement {
const runtime = useRemoteThreadListRuntime({
runtimeHook: useRuntimeHook,
- adapter: {
- ...createDexieAdapter(modelType, pairId),
- unstable_Provider: ThreadHistoryProvider,
- },
+ adapter: createDexieAdapter(modelType, pairId),
});
const aui = useAui({
diff --git a/studio/frontend/src/features/settings/settings-dialog.tsx b/studio/frontend/src/features/settings/settings-dialog.tsx
index 63c0a9d388..376af06e9d 100644
--- a/studio/frontend/src/features/settings/settings-dialog.tsx
+++ b/studio/frontend/src/features/settings/settings-dialog.tsx
@@ -10,11 +10,11 @@ import {
import { cn } from "@/lib/utils";
import {
Cancel01Icon,
- Globe02Icon,
- HelpCircleIcon,
Message01Icon,
PaintBrush02Icon,
Settings02Icon,
+ SourceCodeSquareIcon,
+ SparklesIcon,
UserIcon,
} from "@hugeicons/core-free-icons";
import { HugeiconsIcon } from "@hugeicons/react";
@@ -40,8 +40,8 @@ const TABS: TabDef[] = [
{ id: "profile", label: "Profile", icon: UserIcon },
{ id: "appearance", label: "Appearance", icon: PaintBrush02Icon },
{ id: "chat", label: "Chat", icon: Message01Icon },
- { id: "api-keys", label: "API", icon: Globe02Icon, badge: "New" },
- { id: "about", label: "Help", icon: HelpCircleIcon },
+ { id: "api-keys", label: "Developer", icon: SourceCodeSquareIcon, badge: "New" },
+ { id: "about", label: "Help", icon: SparklesIcon },
];
function renderTab(tab: SettingsTab) {
diff --git a/studio/frontend/src/features/settings/tabs/api-keys-tab.tsx b/studio/frontend/src/features/settings/tabs/api-keys-tab.tsx
index ac9ec40543..64c6f520c0 100644
--- a/studio/frontend/src/features/settings/tabs/api-keys-tab.tsx
+++ b/studio/frontend/src/features/settings/tabs/api-keys-tab.tsx
@@ -63,7 +63,7 @@ export function ApiKeysTab() {
return (
- API
+ Developer
Access Unsloth programmatically via the OpenAI-compatible API.{" "}
s.deviceType);
const isLora = store.trainingMethod !== "full";
const showVisionLora = store.isVisionModel && store.isDatasetImage === true;
const [loraOpen, setLoraOpen] = useState(false);
@@ -883,7 +885,11 @@ export function ParamsSection(): ReactElement {
None
Standard
- Unsloth
+ {platformDeviceType === "mac" ? (
+ MLX
+ ) : (
+ Unsloth
+ )}
diff --git a/studio/frontend/src/features/training/lib/model-defaults.ts b/studio/frontend/src/features/training/lib/model-defaults.ts
index c40a1e2282..8bc9c4e064 100644
--- a/studio/frontend/src/features/training/lib/model-defaults.ts
+++ b/studio/frontend/src/features/training/lib/model-defaults.ts
@@ -3,6 +3,7 @@
import type { BackendModelConfig } from "../api/models-api";
import type { TrainingConfigState } from "../types/config";
+import { usePlatformStore } from "@/config/env";
type ModelDefaultsPatch = Partial<
Pick<
@@ -69,7 +70,13 @@ function toStringArray(value: unknown): string[] | undefined {
function toGradientCheckpointing(
value: unknown,
): TrainingConfigState["gradientCheckpointing"] | undefined {
- if (value === "none" || value === "true" || value === "unsloth") return value;
+ if (value === "none" || value === "true" || value === "unsloth" || value === "mlx") {
+ // On Mac, map "unsloth" → "mlx" since Unsloth GC is GPU-only
+ if (usePlatformStore.getState().deviceType === "mac" && value === "unsloth") {
+ return "mlx";
+ }
+ return value;
+ }
return undefined;
}
diff --git a/studio/frontend/src/hooks/use-hf-model-search.ts b/studio/frontend/src/hooks/use-hf-model-search.ts
index 77214f38d9..efe4d726be 100644
--- a/studio/frontend/src/hooks/use-hf-model-search.ts
+++ b/studio/frontend/src/hooks/use-hf-model-search.ts
@@ -6,6 +6,7 @@ import { listModels } from "@huggingface/hub";
import { type CachedResult, cachedModelInfo, primeCacheFromListing } from "@/lib/hf-cache";
import { useCallback, useMemo } from "react";
import { useHfPaginatedSearch } from "./use-hf-paginated-search";
+import { usePlatformStore } from "@/config/env";
export interface HfModelResult {
id: string;
@@ -16,7 +17,8 @@ export interface HfModelResult {
isGguf: boolean;
}
-const EXCLUDED_TAGS = new Set([
+/** Tags to exclude on GPU (CUDA/ROCm) — MLX models won't load on GPU. */
+const EXCLUDED_TAGS_GPU = new Set([
"gptq",
"awq",
"exl2",
@@ -28,6 +30,18 @@ const EXCLUDED_TAGS = new Set([
"ctranslate2",
]);
+/** Tags to exclude on MLX (Mac) — GPU-only quant formats won't load on MLX. */
+const EXCLUDED_TAGS_MLX = new Set([
+ "gptq",
+ "awq",
+ "exl2",
+ "onnx",
+ "openvino",
+ "coreml",
+ "tflite",
+ "ctranslate2",
+]);
+
// Embedding / sentence-transformer models ship with onnx/openvino as additional
// export formats — they should not be excluded by the tag check above.
const EMBEDDING_TAGS = new Set([
@@ -77,7 +91,7 @@ function estimateSizeFromDtypes(
return total > 0 ? total : undefined;
}
-function makeMapModel(excludeGguf: boolean) {
+function makeMapModel(excludeGguf: boolean, excludedTags: Set) {
return (raw: unknown): HfModelResult | null => {
const m = raw as {
name: string;
@@ -87,7 +101,7 @@ function makeMapModel(excludeGguf: boolean) {
tags?: string[];
};
const isEmbedding = m.tags?.some((t) => EMBEDDING_TAGS.has(t));
- if (!isEmbedding && m.tags?.some((t) => EXCLUDED_TAGS.has(t))) {
+ if (!isEmbedding && m.tags?.some((t) => excludedTags.has(t))) {
return null;
}
const isGguf =
@@ -314,7 +328,9 @@ export function useHfModelSearch(
[trimmed, searchQuery, pinnedId, task, accessToken, priorityIds],
);
- const mapModel = useMemo(() => makeMapModel(excludeGguf), [excludeGguf]);
+ const deviceType = usePlatformStore((s) => s.deviceType);
+ const excludedTags = deviceType === "mac" ? EXCLUDED_TAGS_MLX : EXCLUDED_TAGS_GPU;
+ const mapModel = useMemo(() => makeMapModel(excludeGguf, excludedTags), [excludeGguf, excludedTags]);
const search = useHfPaginatedSearch(createIter, mapModel);
// Secondary sort guarantee: unsloth models always float to the top.
diff --git a/studio/frontend/src/types/training.ts b/studio/frontend/src/types/training.ts
index d65d14fb83..187f54a13b 100644
--- a/studio/frontend/src/types/training.ts
+++ b/studio/frontend/src/types/training.ts
@@ -10,7 +10,7 @@ export function isAdapterMethod(method: TrainingMethod): boolean {
export type StepNumber = 1 | 2 | 3 | 4 | 5;
export type DatasetSource = "huggingface" | "upload";
export type DatasetFormat = "auto" | "alpaca" | "chatml" | "sharegpt";
-export type GradientCheckpointing = "none" | "true" | "unsloth";
+export type GradientCheckpointing = "none" | "true" | "unsloth" | "mlx";
export interface WizardState {
currentStep: StepNumber;
diff --git a/studio/setup.ps1 b/studio/setup.ps1
index 3d082aa70d..f2753d5c88 100644
--- a/studio/setup.ps1
+++ b/studio/setup.ps1
@@ -1492,9 +1492,79 @@ if (-not $PythonCmd) {
substep "Using $PythonCmd ($(& $PythonCmd --version 2>&1))"
-# The venv must already exist (created by install.ps1).
-# This script (setup.ps1 / "unsloth studio update") only updates packages.
-$VenvDir = Join-Path $env:USERPROFILE ".unsloth\studio\unsloth_studio"
+# The venv must already exist (created by install.ps1); this script only
+# updates packages. UNSLOTH_STUDIO_HOME (or STUDIO_HOME alias) overrides the
+# root. UNSLOTH_STUDIO_HOME wins when both are set. Whitespace-only values
+# are treated as unset to match Python .strip() semantics.
+$_studioOverrideVar = $null
+$_studioOverride = $null
+if (-not [string]::IsNullOrWhiteSpace($env:UNSLOTH_STUDIO_HOME)) {
+ $_studioOverrideVar = "UNSLOTH_STUDIO_HOME"
+ $_studioOverride = $env:UNSLOTH_STUDIO_HOME.Trim()
+} elseif (-not [string]::IsNullOrWhiteSpace($env:STUDIO_HOME)) {
+ $_studioOverrideVar = "STUDIO_HOME"
+ $_studioOverride = $env:STUDIO_HOME.Trim()
+}
+if ($_studioOverride) {
+ if ($_studioOverride -eq "~" -or $_studioOverride -like "~/*" -or $_studioOverride -like "~\*") {
+ $_studioOverride = (Join-Path $env:USERPROFILE $_studioOverride.Substring(1).TrimStart('/','\'))
+ }
+ if (Test-Path -LiteralPath $_studioOverride -PathType Container) {
+ $StudioHome = (Resolve-Path -LiteralPath $_studioOverride).Path
+ # why: mirror setup.sh:417 and install.ps1:130 -- fail fast when the
+ # custom root is read-only instead of erroring later while creating
+ # sidecar venvs / installing packages.
+ $_setupWriteProbe = Join-Path $StudioHome (".unsloth-write-probe-" + [guid]::NewGuid())
+ try {
+ [System.IO.File]::WriteAllText($_setupWriteProbe, "")
+ Remove-Item -LiteralPath $_setupWriteProbe -Force -ErrorAction SilentlyContinue
+ } catch {
+ Write-Host "ERROR: $_studioOverrideVar=$StudioHome is not writable." -ForegroundColor Red
+ exit 1
+ }
+ } else {
+ Write-Host "ERROR: $_studioOverrideVar=$_studioOverride does not exist." -ForegroundColor Red
+ Write-Host " Run install.ps1 to create the install root before 'unsloth studio update'." -ForegroundColor Red
+ exit 1
+ }
+} else {
+ $StudioHome = Join-Path $env:USERPROFILE ".unsloth\studio"
+}
+$VenvDir = Join-Path $StudioHome "unsloth_studio"
+
+# why: in env-override mode $StudioHome is user-chosen; require the
+# ownership marker before Remove-Item so unrelated dirs survive. Gated on
+# the canonical comparison so an override pointing at the legacy default
+# still behaves like a default install.
+$StudioOwnedMarker = ".unsloth-studio-owned"
+$LegacyStudioHome = Join-Path $env:USERPROFILE ".unsloth\studio"
+$_studioHomeCanon = $StudioHome
+if (Test-Path -LiteralPath $_studioHomeCanon -PathType Container) {
+ $_studioHomeCanon = (Resolve-Path -LiteralPath $_studioHomeCanon).Path
+}
+if (Test-Path -LiteralPath $LegacyStudioHome -PathType Container) {
+ $LegacyStudioHome = (Resolve-Path -LiteralPath $LegacyStudioHome).Path
+}
+$StudioHomeIsCustom = ($_studioHomeCanon -ne $LegacyStudioHome)
+function Assert-StudioOwnedOrAbsent {
+ param(
+ [Parameter(Mandatory = $true)][string]$Path,
+ [Parameter(Mandatory = $true)][string]$Label
+ )
+ if (-not (Test-Path -LiteralPath $Path -PathType Container)) { return }
+ if ($StudioHomeIsCustom -and -not (Test-Path -LiteralPath (Join-Path $Path $StudioOwnedMarker) -PathType Leaf)) {
+ Write-Host "[ERROR] $Path already exists and is not marked as a Studio-owned $Label." -ForegroundColor Red
+ Write-Host " Move it aside or choose an empty UNSLOTH_STUDIO_HOME before re-running." -ForegroundColor Yellow
+ exit 1
+ }
+}
+function Mark-StudioOwned {
+ param([Parameter(Mandatory = $true)][string]$Path)
+ if (-not (Test-Path -LiteralPath $Path -PathType Container)) { return }
+ try {
+ [System.IO.File]::WriteAllText((Join-Path $Path $StudioOwnedMarker), "")
+ } catch {}
+}
# Stale-venv detection: if the venv exists but its torch flavor no longer
# matches the current machine, repair according to invocation context.
@@ -1504,12 +1574,12 @@ $VenvDir = Join-Path $env:USERPROFILE ".unsloth\studio\unsloth_studio"
# In no-torch mode, a missing torch package is expected.
$NoTorchMode = $env:UNSLOTH_NO_TORCH -match '^(?i:true|1|yes)$'
$InstallerManagedSetup = $env:UNSLOTH_INSTALL_ROLLBACK_MANAGED -match '^(?i:true|1|yes)$'
-if ((Test-Path $VenvDir -PathType Container) -and -not $NoTorchMode) {
+if ((Test-Path -LiteralPath $VenvDir -PathType Container) -and -not $NoTorchMode) {
$VenvPyExe = Join-Path $VenvDir "Scripts\python.exe"
$installedTorchTag = $null
$shouldRebuild = $false
- if (Test-Path $VenvPyExe) {
+ if (Test-Path -LiteralPath $VenvPyExe) {
try {
$psi = New-Object System.Diagnostics.ProcessStartInfo
$psi.FileName = $VenvPyExe
@@ -1558,8 +1628,21 @@ if ((Test-Path $VenvDir -PathType Container) -and -not $NoTorchMode) {
exit 1
}
substep "Stale venv detected ($reason) -- rebuilding..." "Yellow"
+ # why: mirror install.ps1 env-mode guard so an update against a custom
+ # UNSLOTH_STUDIO_HOME never wipes an unrelated unsloth_studio venv;
+ # -PathType Leaf rejects a directory masquerading as the sentinel.
+ if (
+ $StudioHomeIsCustom -and
+ -not (Test-Path -LiteralPath (Join-Path $VenvDir $StudioOwnedMarker) -PathType Leaf) -and
+ -not (Test-Path -LiteralPath (Join-Path $StudioHome "share\studio.conf") -PathType Leaf) -and
+ -not (Test-Path -LiteralPath (Join-Path $StudioHome "bin\unsloth.exe") -PathType Leaf)
+ ) {
+ Write-Host "[ERROR] $VenvDir already exists but does not look like an Unsloth Studio install." -ForegroundColor Red
+ Write-Host " Move it aside or choose an empty UNSLOTH_STUDIO_HOME before re-running." -ForegroundColor Yellow
+ exit 1
+ }
try {
- Remove-Item $VenvDir -Recurse -Force -ErrorAction Stop
+ Remove-Item -LiteralPath $VenvDir -Recurse -Force -ErrorAction Stop
} catch {
Write-Host " [ERROR] Could not remove stale venv: $($_.Exception.Message)" -ForegroundColor Red
Write-Host " Close any running Studio/Python processes and re-run setup." -ForegroundColor Red
@@ -1568,7 +1651,7 @@ if ((Test-Path $VenvDir -PathType Container) -and -not $NoTorchMode) {
}
}
-if (-not (Test-Path $VenvDir)) {
+if (-not (Test-Path -LiteralPath $VenvDir)) {
Write-Host "[ERROR] Virtual environment not found at $VenvDir" -ForegroundColor Red
Write-Host " Run install.ps1 first to create the environment:" -ForegroundColor Yellow
Write-Host " irm https://unsloth.ai/install.ps1 | iex" -ForegroundColor Yellow
@@ -1759,17 +1842,19 @@ if ($stackExit -ne 0) {
# ── Pre-install transformers 5.x into .venv_t5_530/ and .venv_t5_550/ ──
# Runs outside the deps fast-path gate so that upgrades from the legacy
# single .venv_t5 are always migrated to the tiered layout.
-$VenvT5_530Dir = Join-Path $env:USERPROFILE ".unsloth\studio\.venv_t5_530"
-$VenvT5_550Dir = Join-Path $env:USERPROFILE ".unsloth\studio\.venv_t5_550"
-$VenvT5Legacy = Join-Path $env:USERPROFILE ".unsloth\studio\.venv_t5"
+# T5 sidecar venvs live under the resolved $StudioHome so custom installs are self-contained.
+$VenvT5_530Dir = Join-Path $StudioHome ".venv_t5_530"
+$VenvT5_550Dir = Join-Path $StudioHome ".venv_t5_550"
+$VenvT5Legacy = Join-Path $StudioHome ".venv_t5"
$_NeedT5Install = $false
-if (Test-Path $VenvT5Legacy) {
- Remove-Item -Recurse -Force $VenvT5Legacy
+if (Test-Path -LiteralPath $VenvT5Legacy) {
+ Assert-StudioOwnedOrAbsent -Path $VenvT5Legacy -Label "legacy transformers sidecar venv"
+ Remove-Item -LiteralPath $VenvT5Legacy -Recurse -Force
$_NeedT5Install = $true
}
-if (-not (Test-Path $VenvT5_530Dir)) { $_NeedT5Install = $true }
-if (-not (Test-Path $VenvT5_550Dir)) { $_NeedT5Install = $true }
+if (-not (Test-Path -LiteralPath $VenvT5_530Dir)) { $_NeedT5Install = $true }
+if (-not (Test-Path -LiteralPath $VenvT5_550Dir)) { $_NeedT5Install = $true }
# Also reinstall when python deps were updated
if (-not $SkipPythonDeps) { $_NeedT5Install = $true }
@@ -1781,8 +1866,10 @@ $ErrorActionPreference = "Continue"
# --- .venv_t5_530 (transformers 5.3.0) ---
substep "pre-installing transformers 5.3.0 for newer model support..."
-if (Test-Path $VenvT5_530Dir) { Remove-Item -Recurse -Force $VenvT5_530Dir }
-New-Item -ItemType Directory -Path $VenvT5_530Dir -Force | Out-Null
+Assert-StudioOwnedOrAbsent -Path $VenvT5_530Dir -Label "transformers 5.3 sidecar venv"
+if (Test-Path -LiteralPath $VenvT5_530Dir) { Remove-Item -LiteralPath $VenvT5_530Dir -Recurse -Force }
+[System.IO.Directory]::CreateDirectory($VenvT5_530Dir) | Out-Null
+Mark-StudioOwned -Path $VenvT5_530Dir
foreach ($pkg in @("transformers==5.3.0", "huggingface_hub==1.8.0", "hf_xet==1.4.2")) {
if ($script:UnslothVerbose) {
Fast-Install --target $VenvT5_530Dir --no-deps $pkg
@@ -1814,8 +1901,10 @@ step "transformers" "5.3.0 pre-installed"
# --- .venv_t5_550 (transformers 5.5.0) ---
substep "pre-installing transformers 5.5.0 for Gemma 4 support..."
-if (Test-Path $VenvT5_550Dir) { Remove-Item -Recurse -Force $VenvT5_550Dir }
-New-Item -ItemType Directory -Path $VenvT5_550Dir -Force | Out-Null
+Assert-StudioOwnedOrAbsent -Path $VenvT5_550Dir -Label "transformers 5.5 sidecar venv"
+if (Test-Path -LiteralPath $VenvT5_550Dir) { Remove-Item -LiteralPath $VenvT5_550Dir -Recurse -Force }
+[System.IO.Directory]::CreateDirectory($VenvT5_550Dir) | Out-Null
+Mark-StudioOwned -Path $VenvT5_550Dir
foreach ($pkg in @("transformers==5.5.0", "huggingface_hub==1.8.0", "hf_xet==1.4.2")) {
if ($script:UnslothVerbose) {
Fast-Install --target $VenvT5_550Dir --no-deps $pkg
@@ -1851,8 +1940,15 @@ step "transformers" "5.5.0 pre-installed"
# ==========================================================================
# PHASE 3.4: Prefer prebuilt llama.cpp bundles before source build
# ==========================================================================
-$UnslothHome = Join-Path $env:USERPROFILE ".unsloth"
-if (-not (Test-Path $UnslothHome)) { New-Item -ItemType Directory -Force $UnslothHome | Out-Null }
+# Nest llama.cpp under $StudioHome only for real env-overrides, never the
+# legacy default. Reuses $StudioHomeIsCustom from the canonical comparison
+# computed above so the llama.cpp nest matches ownership-guard semantics.
+if ($StudioHomeIsCustom) {
+ $UnslothHome = $StudioHome
+} else {
+ $UnslothHome = Join-Path $env:USERPROFILE ".unsloth"
+}
+if (-not (Test-Path -LiteralPath $UnslothHome)) { [System.IO.Directory]::CreateDirectory($UnslothHome) | Out-Null }
$LlamaCppDir = Join-Path $UnslothHome "llama.cpp"
$NeedLlamaSourceBuild = $false
$SkipPrebuiltInstall = $false
@@ -1954,9 +2050,15 @@ if ($env:UNSLOTH_LLAMA_FORCE_COMPILE -eq "1") {
} else {
Write-Host ""
substep "installing prebuilt llama.cpp bundle (preferred path)..."
- if (Test-Path $LlamaCppDir) {
+ if (Test-Path -LiteralPath $LlamaCppDir) {
substep "Existing llama.cpp install detected -- validating staged prebuilt update before replacement"
}
+ # why: install_llama_prebuilt.py uses os.replace(), which would displace
+ # an unrelated $env:UNSLOTH_STUDIO_HOME\llama.cpp before the source-build
+ # ownership check below ever runs.
+ if ($StudioHomeIsCustom) {
+ Assert-StudioOwnedOrAbsent -Path $LlamaCppDir -Label "llama.cpp install"
+ }
$prebuiltArgs = @(
"$PSScriptRoot\install_llama_prebuilt.py",
"--install-dir", $LlamaCppDir,
@@ -2001,6 +2103,9 @@ if ($env:UNSLOTH_LLAMA_FORCE_COMPILE -eq "1") {
} else {
step "llama.cpp" "prebuilt installed and validated"
}
+ if ($StudioHomeIsCustom -and (Test-Path -LiteralPath $LlamaCppDir -PathType Container)) {
+ Mark-StudioOwned -Path $LlamaCppDir
+ }
$installedRelease = Get-InstalledLlamaPrebuiltRelease -InstallDir $LlamaCppDir
if ($installedRelease) {
substep $installedRelease
@@ -2008,7 +2113,7 @@ if ($env:UNSLOTH_LLAMA_FORCE_COMPILE -eq "1") {
} elseif ($prebuiltExit -eq 3) {
step "llama.cpp" "install blocked by active llama.cpp process" "Yellow"
Write-LlamaFailureLog -Output $prebuiltOutput
- if (Test-Path $LlamaCppDir) {
+ if (Test-Path -LiteralPath $LlamaCppDir) {
substep "Existing install was restored" "Yellow"
}
substep "Close Studio or other llama.cpp users and retry" "Yellow"
@@ -2016,7 +2121,7 @@ if ($env:UNSLOTH_LLAMA_FORCE_COMPILE -eq "1") {
} else {
step "llama.cpp" "prebuilt install failed (continuing)" "Yellow"
Write-LlamaFailureLog -Output $prebuiltOutput
- if (Test-Path $LlamaCppDir) {
+ if (Test-Path -LiteralPath $LlamaCppDir) {
substep "Prebuilt update failed; existing install was restored or cleaned before source build fallback" "Yellow"
}
substep "Prebuilt llama.cpp path unavailable or failed validation -- falling back to source build" "Yellow"
@@ -2092,10 +2197,10 @@ $HasCmakeForBuild = $null -ne (Get-Command cmake -ErrorAction SilentlyContinue)
# Check if existing llama-server matches current GPU mode. A CUDA-built binary
# on a now-CPU-only machine (or vice versa) needs to be rebuilt.
$NeedRebuild = $false
-if (Test-Path $LlamaServerBin) {
+if (Test-Path -LiteralPath $LlamaServerBin) {
$CmakeCacheFile = Join-Path $BuildDir "CMakeCache.txt"
- if (Test-Path $CmakeCacheFile) {
- $cachedCuda = Select-String -Path $CmakeCacheFile -Pattern 'GGML_CUDA:BOOL=ON' -Quiet
+ if (Test-Path -LiteralPath $CmakeCacheFile) {
+ $cachedCuda = Select-String -LiteralPath $CmakeCacheFile -Pattern 'GGML_CUDA:BOOL=ON' -Quiet
if ($HasNvidiaSmi -and -not $cachedCuda) {
Write-Host " Existing llama-server is CPU-only but GPU is available -- rebuilding" -ForegroundColor Yellow
$NeedRebuild = $true
@@ -2109,7 +2214,7 @@ if (Test-Path $LlamaServerBin) {
if (-not $NeedLlamaSourceBuild) {
Write-Host ""
step "llama.cpp" "prebuilt (validated)"
-} elseif ((Test-Path $LlamaServerBin) -and -not $NeedRebuild -and $RequestedLlamaTag -ne "master") {
+} elseif ((Test-Path -LiteralPath $LlamaServerBin) -and -not $NeedRebuild -and $RequestedLlamaTag -ne "master") {
# Skip rebuild only for pinned tags (e.g. b8635). When the requested
# tag is "master" (a moving target), always rebuild so the binary picks
# up new model architecture support (e.g. Gemma 4).
@@ -2211,7 +2316,13 @@ if (-not $NeedLlamaSourceBuild) {
$UseConcreteRef = ($ResolvedSourceRef -ne "latest" -and -not [string]::IsNullOrWhiteSpace($ResolvedSourceRef))
- if (Test-Path (Join-Path $LlamaCppDir ".git")) {
+ if (Test-Path -LiteralPath (Join-Path $LlamaCppDir ".git")) {
+ # why: in-place git mutation (remote set-url, checkout -B, clean -fdx)
+ # rewrites $LlamaCppDir; mirror the prebuilt and temp-dir-swap guards
+ # so an unrelated workspace .git tree is never silently overwritten.
+ if ($StudioHomeIsCustom) {
+ Assert-StudioOwnedOrAbsent -Path $LlamaCppDir -Label "llama.cpp install"
+ }
Write-Host " Syncing llama.cpp to $ResolvedSourceRef..." -ForegroundColor Gray
# Always sync the remote URL so switching between default/fork sources works
Invoke-SetupCommand -AlwaysQuiet { git -C $LlamaCppDir remote set-url origin "$ResolvedSourceUrl.git" } | Out-Null
@@ -2282,24 +2393,30 @@ if (-not $NeedLlamaSourceBuild) {
}
}
}
+ # why: in-place git-sync (the temp-dir clone path calls Mark-StudioOwned
+ # at swap-time) must mark the existing tree so a subsequent prebuilt
+ # update path's Assert-StudioOwnedOrAbsent does not exit on the same root.
+ if ($BuildOk -and $StudioHomeIsCustom) {
+ Mark-StudioOwned -Path $LlamaCppDir
+ }
} else {
Write-Host " Cloning llama.cpp @ $ResolvedSourceRef..." -ForegroundColor Gray
$buildTmp = "$LlamaCppDir.build.$PID"
- $null = New-Item -ItemType Directory -Force -Path (Split-Path $LlamaCppDir -Parent)
- if (Test-Path $buildTmp) { Remove-Item -Recurse -Force $buildTmp }
+ $null = [System.IO.Directory]::CreateDirectory((Split-Path -LiteralPath $LlamaCppDir))
+ if (Test-Path -LiteralPath $buildTmp) { Remove-Item -LiteralPath $buildTmp -Recurse -Force }
if ($LlamaPr) {
$cloneExit = Invoke-SetupCommand -AlwaysQuiet { git clone --depth 1 "$LlamaSource.git" $buildTmp }
if ($cloneExit -ne 0) {
$BuildOk = $false
$FailedStep = "git clone"
- if (Test-Path $buildTmp) { Remove-Item -Recurse -Force $buildTmp }
+ if (Test-Path -LiteralPath $buildTmp) { Remove-Item -LiteralPath $buildTmp -Recurse -Force }
}
if ($BuildOk) {
$fetchExit = Invoke-SetupCommand -AlwaysQuiet { git -C $buildTmp fetch --depth 1 origin "pull/$LlamaPr/head:pr-$LlamaPr" }
if ($fetchExit -ne 0) {
$BuildOk = $false
$FailedStep = "git fetch PR #$LlamaPr"
- if (Test-Path $buildTmp) { Remove-Item -Recurse -Force $buildTmp }
+ if (Test-Path -LiteralPath $buildTmp) { Remove-Item -LiteralPath $buildTmp -Recurse -Force }
}
}
if ($BuildOk) {
@@ -2307,7 +2424,7 @@ if (-not $NeedLlamaSourceBuild) {
if ($checkoutExit -ne 0) {
$BuildOk = $false
$FailedStep = "git checkout PR #$LlamaPr"
- if (Test-Path $buildTmp) { Remove-Item -Recurse -Force $buildTmp }
+ if (Test-Path -LiteralPath $buildTmp) { Remove-Item -LiteralPath $buildTmp -Recurse -Force }
}
}
} elseif ($ResolvedSourceRefKind -eq "pull") {
@@ -2315,14 +2432,14 @@ if (-not $NeedLlamaSourceBuild) {
if ($cloneExit -ne 0) {
$BuildOk = $false
$FailedStep = "git clone"
- if (Test-Path $buildTmp) { Remove-Item -Recurse -Force $buildTmp }
+ if (Test-Path -LiteralPath $buildTmp) { Remove-Item -LiteralPath $buildTmp -Recurse -Force }
}
if ($BuildOk) {
$fetchExit = Invoke-SetupCommand -AlwaysQuiet { git -C $buildTmp fetch --depth 1 origin $ResolvedSourceRef }
if ($fetchExit -ne 0) {
$BuildOk = $false
$FailedStep = "git fetch source PR ref"
- if (Test-Path $buildTmp) { Remove-Item -Recurse -Force $buildTmp }
+ if (Test-Path -LiteralPath $buildTmp) { Remove-Item -LiteralPath $buildTmp -Recurse -Force }
}
}
if ($BuildOk) {
@@ -2330,7 +2447,7 @@ if (-not $NeedLlamaSourceBuild) {
if ($checkoutExit -ne 0) {
$BuildOk = $false
$FailedStep = "git checkout source PR ref"
- if (Test-Path $buildTmp) { Remove-Item -Recurse -Force $buildTmp }
+ if (Test-Path -LiteralPath $buildTmp) { Remove-Item -LiteralPath $buildTmp -Recurse -Force }
}
}
} elseif ($ResolvedSourceRefKind -eq "commit") {
@@ -2338,14 +2455,14 @@ if (-not $NeedLlamaSourceBuild) {
if ($cloneExit -ne 0) {
$BuildOk = $false
$FailedStep = "git clone"
- if (Test-Path $buildTmp) { Remove-Item -Recurse -Force $buildTmp }
+ if (Test-Path -LiteralPath $buildTmp) { Remove-Item -LiteralPath $buildTmp -Recurse -Force }
}
if ($BuildOk) {
$fetchExit = Invoke-SetupCommand -AlwaysQuiet { git -C $buildTmp fetch --depth 1 origin $ResolvedSourceRef }
if ($fetchExit -ne 0) {
$BuildOk = $false
$FailedStep = "git fetch source commit"
- if (Test-Path $buildTmp) { Remove-Item -Recurse -Force $buildTmp }
+ if (Test-Path -LiteralPath $buildTmp) { Remove-Item -LiteralPath $buildTmp -Recurse -Force }
}
}
if ($BuildOk) {
@@ -2353,7 +2470,7 @@ if (-not $NeedLlamaSourceBuild) {
if ($checkoutExit -ne 0) {
$BuildOk = $false
$FailedStep = "git checkout source commit"
- if (Test-Path $buildTmp) { Remove-Item -Recurse -Force $buildTmp }
+ if (Test-Path -LiteralPath $buildTmp) { Remove-Item -LiteralPath $buildTmp -Recurse -Force }
}
}
} else {
@@ -2366,7 +2483,7 @@ if (-not $NeedLlamaSourceBuild) {
if ($cloneExit -ne 0) {
$BuildOk = $false
$FailedStep = "git clone"
- if (Test-Path $buildTmp) { Remove-Item -Recurse -Force $buildTmp }
+ if (Test-Path -LiteralPath $buildTmp) { Remove-Item -LiteralPath $buildTmp -Recurse -Force }
}
}
# Use temp dir for build; swap into $LlamaCppDir only after build succeeds
@@ -2482,14 +2599,16 @@ if (-not $NeedLlamaSourceBuild) {
# Swap temp build dir into final location (only if we built in a temp dir)
if ($BuildOk -and $LlamaCppDir -ne $OriginalLlamaCppDir) {
- if (Test-Path $OriginalLlamaCppDir) { Remove-Item -Recurse -Force $OriginalLlamaCppDir }
- Move-Item $LlamaCppDir $OriginalLlamaCppDir
+ Assert-StudioOwnedOrAbsent -Path $OriginalLlamaCppDir -Label "llama.cpp install"
+ if (Test-Path -LiteralPath $OriginalLlamaCppDir) { Remove-Item -LiteralPath $OriginalLlamaCppDir -Recurse -Force }
+ Move-Item -LiteralPath $LlamaCppDir -Destination $OriginalLlamaCppDir
$LlamaCppDir = $OriginalLlamaCppDir
$BuildDir = Join-Path $LlamaCppDir "build"
$LlamaServerBin = Join-Path $BuildDir "bin\Release\llama-server.exe"
+ Mark-StudioOwned -Path $LlamaCppDir
} elseif (-not $BuildOk -and $LlamaCppDir -ne $OriginalLlamaCppDir) {
# Build failed -- clean up temp dir, preserve existing install
- if (Test-Path $LlamaCppDir) { Remove-Item -Recurse -Force $LlamaCppDir }
+ if (Test-Path -LiteralPath $LlamaCppDir) { Remove-Item -LiteralPath $LlamaCppDir -Recurse -Force }
$LlamaCppDir = $OriginalLlamaCppDir
$BuildDir = Join-Path $LlamaCppDir "build"
$LlamaServerBin = Join-Path $BuildDir "bin\Release\llama-server.exe"
@@ -2504,16 +2623,16 @@ if (-not $NeedLlamaSourceBuild) {
$totalSec = [math]::Round($totalSw.Elapsed.TotalSeconds % 60, 1)
# -- Summary --
- if ($BuildOk -and (Test-Path $LlamaServerBin)) {
+ if ($BuildOk -and (Test-Path -LiteralPath $LlamaServerBin)) {
step "llama.cpp" "built"
$QuantizeBin = Join-Path $BuildDir "bin\Release\llama-quantize.exe"
- if (Test-Path $QuantizeBin) {
+ if (Test-Path -LiteralPath $QuantizeBin) {
step "llama-quantize" "built"
}
step "build time" "${totalMin}m ${totalSec}s" "DarkGray"
} else {
$altBin = Join-Path $BuildDir "bin\llama-server.exe"
- if ($BuildOk -and (Test-Path $altBin)) {
+ if ($BuildOk -and (Test-Path -LiteralPath $altBin)) {
step "llama.cpp" "built"
step "build time" "${totalMin}m ${totalSec}s" "DarkGray"
} else {
diff --git a/studio/setup.sh b/studio/setup.sh
index 3e875eed30..c5beb7ebd3 100755
--- a/studio/setup.sh
+++ b/studio/setup.sh
@@ -417,7 +417,36 @@ if [ -d "$SCRIPT_DIR/backend/core/data_recipe/oxc-validator" ] && command -v npm
fi
# ── Python venv + deps ──
-STUDIO_HOME="$HOME/.unsloth/studio"
+# UNSLOTH_STUDIO_HOME (or STUDIO_HOME alias) overrides the install root
+# (mirrors install.sh). UNSLOTH_STUDIO_HOME wins when both are set.
+_studio_override_var=""
+_studio_override="${UNSLOTH_STUDIO_HOME:-}"
+if [ -n "$_studio_override" ]; then
+ _studio_override_var="UNSLOTH_STUDIO_HOME"
+else
+ _studio_override="${STUDIO_HOME:-}"
+ [ -n "$_studio_override" ] && _studio_override_var="STUDIO_HOME"
+fi
+# Strip whitespace so " " is treated as unset (matches Python .strip()).
+_studio_override=$(printf '%s' "$_studio_override" | sed -e 's/^[[:space:]]*//' -e 's/[[:space:]]*$//')
+case "$_studio_override" in
+ "~") _studio_override="$HOME" ;;
+ "~/"*) _studio_override="$HOME/${_studio_override#'~/'}" ;;
+esac
+if [ -n "$_studio_override" ]; then
+ # setup.sh runs against an existing install (via 'unsloth studio update');
+ # a typo in the override must fail fast instead of materializing an
+ # empty workspace dir. Mirrors setup.ps1 behavior.
+ if [ ! -d "$_studio_override" ]; then
+ echo "ERROR: $_studio_override_var=$_studio_override does not exist." >&2
+ echo " Run install.sh to create the install root before 'unsloth studio update'." >&2
+ exit 1
+ fi
+ [ -w "$_studio_override" ] || { echo "ERROR: $_studio_override_var=$_studio_override is not writable." >&2; exit 1; }
+ STUDIO_HOME="$(CDPATH= cd -P -- "$_studio_override" && pwd -P)" || exit 1
+else
+ STUDIO_HOME="$HOME/.unsloth/studio"
+fi
VENV_DIR="$STUDIO_HOME/unsloth_studio"
VENV_T5_530_DIR="$STUDIO_HOME/.venv_t5_530"
VENV_T5_550_DIR="$STUDIO_HOME/.venv_t5_550"
@@ -542,9 +571,39 @@ fi
#
# Runs outside the _SKIP_PYTHON_DEPS gate so that upgrades from legacy
# single .venv_t5 are always migrated to the tiered layout.
+# why: in env-override mode $STUDIO_HOME is user-chosen; require the
+# ownership marker before rm -rf so unrelated dirs survive. Gated on the
+# canonical comparison so an override pointing at the legacy default still
+# behaves like a default install.
+_STUDIO_OWNED_MARKER=".unsloth-studio-owned"
+_LEGACY_STUDIO_HOME="$HOME/.unsloth/studio"
+_studio_home_canon="$STUDIO_HOME"
+if [ -d "$_studio_home_canon" ]; then
+ _studio_home_canon=$(CDPATH= cd -P -- "$_studio_home_canon" 2>/dev/null && pwd -P) \
+ || _studio_home_canon="$STUDIO_HOME"
+fi
+if [ -d "$_LEGACY_STUDIO_HOME" ]; then
+ _LEGACY_STUDIO_HOME=$(CDPATH= cd -P -- "$_LEGACY_STUDIO_HOME" 2>/dev/null && pwd -P) \
+ || _LEGACY_STUDIO_HOME="$HOME/.unsloth/studio"
+fi
+_STUDIO_HOME_IS_CUSTOM=false
+if [ "$_studio_home_canon" != "$_LEGACY_STUDIO_HOME" ]; then
+ _STUDIO_HOME_IS_CUSTOM=true
+fi
+_assert_studio_owned_or_absent() {
+ _aso_dir="$1"
+ _aso_label="$2"
+ [ -d "$_aso_dir" ] || return 0
+ if [ "$_STUDIO_HOME_IS_CUSTOM" = true ] && [ ! -f "$_aso_dir/$_STUDIO_OWNED_MARKER" ]; then
+ echo "ERROR: $_aso_dir already exists and is not marked as a Studio-owned $_aso_label." >&2
+ echo " Move it aside or choose an empty UNSLOTH_STUDIO_HOME before re-running." >&2
+ exit 1
+ fi
+}
_NEED_T5_INSTALL=false
if [ -d "$STUDIO_HOME/.venv_t5" ]; then
# Legacy layout — migrate
+ _assert_studio_owned_or_absent "$STUDIO_HOME/.venv_t5" "legacy transformers sidecar venv"
rm -rf "$STUDIO_HOME/.venv_t5"
_NEED_T5_INSTALL=true
fi
@@ -554,16 +613,20 @@ fi
[ "$_SKIP_PYTHON_DEPS" = false ] && _NEED_T5_INSTALL=true
if [ "$_NEED_T5_INSTALL" = true ]; then
+ _assert_studio_owned_or_absent "$VENV_T5_530_DIR" "transformers 5.3 sidecar venv"
[ -d "$VENV_T5_530_DIR" ] && rm -rf "$VENV_T5_530_DIR"
mkdir -p "$VENV_T5_530_DIR"
+ : > "$VENV_T5_530_DIR/$_STUDIO_OWNED_MARKER" 2>/dev/null || true
run_quiet "install transformers 5.3.0" fast_install --target "$VENV_T5_530_DIR" --no-deps "transformers==5.3.0"
run_quiet "install huggingface_hub for t5_530" fast_install --target "$VENV_T5_530_DIR" --no-deps "huggingface_hub==1.8.0"
run_quiet "install hf_xet for t5_530" fast_install --target "$VENV_T5_530_DIR" --no-deps "hf_xet==1.4.2"
run_quiet "install tiktoken for t5_530" fast_install --target "$VENV_T5_530_DIR" "tiktoken"
step "transformers" "5.3.0 pre-installed"
+ _assert_studio_owned_or_absent "$VENV_T5_550_DIR" "transformers 5.5 sidecar venv"
[ -d "$VENV_T5_550_DIR" ] && rm -rf "$VENV_T5_550_DIR"
mkdir -p "$VENV_T5_550_DIR"
+ : > "$VENV_T5_550_DIR/$_STUDIO_OWNED_MARKER" 2>/dev/null || true
run_quiet "install transformers 5.5.0" fast_install --target "$VENV_T5_550_DIR" --no-deps "transformers==5.5.0"
run_quiet "install huggingface_hub for t5_550" fast_install --target "$VENV_T5_550_DIR" --no-deps "huggingface_hub==1.8.0"
run_quiet "install hf_xet for t5_550" fast_install --target "$VENV_T5_550_DIR" --no-deps "hf_xet==1.4.2"
@@ -573,7 +636,13 @@ fi
fi
# ── 7. Prefer prebuilt llama.cpp bundles before any source build path ──
-UNSLOTH_HOME="$HOME/.unsloth"
+# Nest llama.cpp under $STUDIO_HOME only for real env-overrides; legacy
+# default keeps ~/.unsloth/llama.cpp so pre-PR builds are still discovered.
+if [ "$_STUDIO_HOME_IS_CUSTOM" = true ]; then
+ UNSLOTH_HOME="$STUDIO_HOME"
+else
+ UNSLOTH_HOME="$HOME/.unsloth"
+fi
mkdir -p "$UNSLOTH_HOME"
LLAMA_CPP_DIR="$UNSLOTH_HOME/llama.cpp"
LLAMA_SERVER_BIN="$LLAMA_CPP_DIR/build/bin/llama-server"
@@ -582,11 +651,30 @@ _LLAMA_CPP_DEGRADED=false
_LLAMA_FORCE_COMPILE="${UNSLOTH_LLAMA_FORCE_COMPILE:-0}"
_REQUESTED_LLAMA_TAG="${UNSLOTH_LLAMA_TAG:-${_DEFAULT_LLAMA_TAG}}"
_HOST_SYSTEM="$(uname -s 2>/dev/null || true)"
+_HOST_MACHINE="$(uname -m 2>/dev/null || true)"
+
+# Pick the release repo install_llama_prebuilt.py plans against.
+# unslothai/llama.cpp ships only Linux CUDA bundles, so CPU-only Linux
+# x86_64 routes to ggml-org for bin-ubuntu-x64.tar.gz. Anything with a
+# GPU tool installed stays on unslothai (CUDA bundle / ROCm source build).
+_LINUX_HAS_GPU=false
+for _GPU_TOOL in nvidia-smi rocminfo amd-smi hipconfig hipinfo; do
+ if command -v "$_GPU_TOOL" >/dev/null 2>&1; then
+ _LINUX_HAS_GPU=true
+ break
+ fi
+done
+
if [ "$_HOST_SYSTEM" = "Darwin" ]; then
_HELPER_RELEASE_REPO="ggml-org/llama.cpp"
+elif [ "$_HOST_SYSTEM" = "Linux" ] \
+ && [ "$_HOST_MACHINE" = "x86_64" ] \
+ && [ "$_LINUX_HAS_GPU" = false ]; then
+ _HELPER_RELEASE_REPO="ggml-org/llama.cpp"
else
_HELPER_RELEASE_REPO="unslothai/llama.cpp"
fi
+unset _GPU_TOOL
_LLAMA_PR="${UNSLOTH_LLAMA_PR:-}"
_SKIP_PREBUILT_INSTALL=false
_LLAMA_PR_FORCE="${UNSLOTH_LLAMA_PR_FORCE:-${_DEFAULT_LLAMA_PR_FORCE}}"
@@ -635,6 +723,12 @@ else
if [ -d "$LLAMA_CPP_DIR" ]; then
substep "existing install detected -- validating update"
fi
+ # why: install_llama_prebuilt.py uses os.replace(), which would displace
+ # an unrelated $UNSLOTH_STUDIO_HOME/llama.cpp before the source-build
+ # ownership check below ever runs.
+ if [ "$_STUDIO_HOME_IS_CUSTOM" = true ]; then
+ _assert_studio_owned_or_absent "$LLAMA_CPP_DIR" "llama.cpp install"
+ fi
_PREBUILT_CMD=(
python "$SCRIPT_DIR/install_llama_prebuilt.py"
--install-dir "$LLAMA_CPP_DIR"
@@ -662,6 +756,9 @@ else
else
step "llama.cpp" "prebuilt installed and validated"
fi
+ if [ "$_STUDIO_HOME_IS_CUSTOM" = true ] && [ -d "$LLAMA_CPP_DIR" ]; then
+ : > "$LLAMA_CPP_DIR/$_STUDIO_OWNED_MARKER" 2>/dev/null || true
+ fi
print_installed_llama_prebuilt_release "$LLAMA_CPP_DIR"
verbose_substep "llama.cpp install dir: $LLAMA_CPP_DIR"
rm -f "$_PREBUILT_LOG"
@@ -1032,8 +1129,10 @@ else
# Swap only after build succeeds -- preserves existing install on failure
if [ "$BUILD_OK" = true ]; then
+ _assert_studio_owned_or_absent "$LLAMA_CPP_DIR" "llama.cpp install"
rm -rf "$LLAMA_CPP_DIR"
mv "$_BUILD_TMP" "$LLAMA_CPP_DIR"
+ : > "$LLAMA_CPP_DIR/$_STUDIO_OWNED_MARKER" 2>/dev/null || true
# Symlink to llama.cpp root -- check_llama_cpp() looks for the binary there
QUANTIZE_BIN="$LLAMA_CPP_DIR/build/bin/llama-quantize"
if [ -f "$QUANTIZE_BIN" ]; then
diff --git a/studio/src-tauri/src/commands.rs b/studio/src-tauri/src/commands.rs
index 48a0af6e48..e9a27644df 100644
--- a/studio/src-tauri/src/commands.rs
+++ b/studio/src-tauri/src/commands.rs
@@ -60,6 +60,11 @@ pub async fn check_install_status() -> bool {
cmd.env_remove("PYTHONPATH");
}
+ // Tauri uses the legacy root regardless of UNSLOTH_STUDIO_HOME / STUDIO_HOME;
+ // probe subprocesses must follow the same isolation as process.rs.
+ cmd.env_remove("UNSLOTH_STUDIO_HOME");
+ cmd.env_remove("STUDIO_HOME");
+
let mut child = match cmd.spawn() {
Ok(c) => c,
Err(e) => {
diff --git a/studio/src-tauri/src/desktop_auth.rs b/studio/src-tauri/src/desktop_auth.rs
index 483e7c0432..49b19008fb 100644
--- a/studio/src-tauri/src/desktop_auth.rs
+++ b/studio/src-tauri/src/desktop_auth.rs
@@ -203,6 +203,11 @@ async fn provision_desktop_auth() -> Result<(), String> {
cmd.env_remove("PYTHONHOME");
cmd.env_remove("PYTHONPATH");
}
+
+ // Tauri uses the legacy root regardless of UNSLOTH_STUDIO_HOME / STUDIO_HOME.
+ // Scrub so provisioning writes match what the Rust auth code reads.
+ cmd.env_remove("UNSLOTH_STUDIO_HOME");
+ cmd.env_remove("STUDIO_HOME");
#[cfg(windows)]
{
use std::os::windows::process::CommandExt;
diff --git a/studio/src-tauri/src/install.rs b/studio/src-tauri/src/install.rs
index 9d672f5e73..024b730735 100644
--- a/studio/src-tauri/src/install.rs
+++ b/studio/src-tauri/src/install.rs
@@ -196,6 +196,11 @@ fn spawn_script(
cmd.env_remove("PYTHONPATH");
}
+ // Tauri only does default-root installs; install.sh / install.ps1 reject
+ // these under --tauri. Scrub so an inherited value can't trip the guard.
+ cmd.env_remove("UNSLOTH_STUDIO_HOME");
+ cmd.env_remove("STUDIO_HOME");
+
// On Windows, launch the installer directly with CREATE_NO_WINDOW.
// The app process is assigned to a KILL_ON_JOB_CLOSE job in main.rs, so
// child cleanup on crash comes from inherited job membership instead.
diff --git a/studio/src-tauri/src/preflight.rs b/studio/src-tauri/src/preflight.rs
index d3df06d057..c0bbb07b36 100644
--- a/studio/src-tauri/src/preflight.rs
+++ b/studio/src-tauri/src/preflight.rs
@@ -102,6 +102,11 @@ async fn run_cli_probe(bin: &std::path::Path, args: &[&str]) -> bool {
cmd.env_remove("PYTHONPATH");
}
+ // Tauri uses the legacy root regardless of UNSLOTH_STUDIO_HOME / STUDIO_HOME;
+ // probe subprocesses must follow the same isolation as process.rs.
+ cmd.env_remove("UNSLOTH_STUDIO_HOME");
+ cmd.env_remove("STUDIO_HOME");
+
#[cfg(windows)]
{
use std::os::windows::process::CommandExt;
@@ -135,6 +140,11 @@ async fn probe_cli_capability(bin: &std::path::Path) -> Option = {
use std::os::windows::process::CommandExt;
diff --git a/tests/python/test_gpu_init_ldconfig_guard.py b/tests/python/test_gpu_init_ldconfig_guard.py
new file mode 100644
index 0000000000..081a6132b4
--- /dev/null
+++ b/tests/python/test_gpu_init_ldconfig_guard.py
@@ -0,0 +1,46 @@
+import ast
+from pathlib import Path
+
+REPO_ROOT = Path(__file__).resolve().parents[2]
+GPU_INIT = REPO_ROOT / "unsloth" / "_gpu_init.py"
+
+
+def _find_geteuid_guard(tree: ast.AST):
+ for node in ast.walk(tree):
+ if not isinstance(node, ast.If):
+ continue
+ for sub in ast.walk(node.test):
+ if isinstance(sub, ast.Call) and isinstance(sub.func, ast.Attribute):
+ if sub.func.attr == "geteuid":
+ return node
+ return None
+
+
+def test_gpu_init_has_geteuid_guard():
+ tree = ast.parse(GPU_INIT.read_text())
+ guard = _find_geteuid_guard(tree)
+ assert (
+ guard is not None
+ ), "_gpu_init.py must guard ldconfig recovery on os.geteuid()"
+
+
+def test_ldconfig_calls_only_inside_geteuid_guard():
+ src = GPU_INIT.read_text()
+ tree = ast.parse(src)
+ guard = _find_geteuid_guard(tree)
+ assert guard is not None
+ guard_src = ast.get_source_segment(src, guard) or ""
+ ldconfig_lines = [
+ line for line in src.splitlines() if "ldconfig" in line and "os.system" in line
+ ]
+ for line in ldconfig_lines:
+ assert line.strip() in guard_src, (
+ "os.system('ldconfig ...') must live inside the geteuid guard, "
+ f"but found unguarded: {line!r}"
+ )
+
+
+def test_non_root_branch_warns_when_bnb_present():
+ src = GPU_INIT.read_text()
+ assert "elif bnb is not None" in src
+ assert "sudo ldconfig" in src
diff --git a/tests/studio/test_export_output_path_contract.py b/tests/studio/test_export_output_path_contract.py
new file mode 100644
index 0000000000..e99fc42091
--- /dev/null
+++ b/tests/studio/test_export_output_path_contract.py
@@ -0,0 +1,122 @@
+# SPDX-License-Identifier: AGPL-3.0-only
+
+import ast
+from pathlib import Path
+
+REPO_ROOT = Path(__file__).resolve().parents[2]
+EXPORT = REPO_ROOT / "studio" / "backend" / "core" / "export" / "export.py"
+
+EXPORT_FNS = (
+ "export_merged_model",
+ "export_base_model",
+ "export_gguf",
+ "export_lora_adapter",
+)
+
+
+def _find_method(tree, cls_name, method_name):
+ for cls in ast.walk(tree):
+ if isinstance(cls, ast.ClassDef) and cls.name == cls_name:
+ for item in cls.body:
+ if isinstance(item, ast.FunctionDef) and item.name == method_name:
+ return item
+ return None
+
+
+def _return_tuple_arity(fn):
+ arities = []
+ for node in ast.walk(fn):
+ if isinstance(node, ast.Return) and isinstance(node.value, ast.Tuple):
+ arities.append(len(node.value.elts))
+ return arities
+
+
+def test_export_methods_return_three_tuple_annotation():
+ tree = ast.parse(EXPORT.read_text())
+ for fn_name in EXPORT_FNS:
+ fn = _find_method(tree, "ExportBackend", fn_name)
+ assert fn is not None, f"missing ExportBackend.{fn_name}"
+ ret = fn.returns
+ assert isinstance(ret, ast.Subscript), f"{fn_name} return must be Tuple[...]"
+ slc = ret.slice
+ elts = slc.elts if isinstance(slc, ast.Tuple) else None
+ assert (
+ elts is not None and len(elts) == 3
+ ), f"{fn_name} return annotation must be a 3-tuple, got {ast.dump(ret)}"
+
+
+def test_export_methods_return_three_element_tuples():
+ tree = ast.parse(EXPORT.read_text())
+ for fn_name in EXPORT_FNS:
+ fn = _find_method(tree, "ExportBackend", fn_name)
+ assert fn is not None
+ arities = _return_tuple_arity(fn)
+ assert arities, f"{fn_name} has no tuple-return statements"
+ for arity in arities:
+ assert arity == 3, f"{fn_name} return tuple arity {arity}, expected 3"
+
+
+def test_local_save_assigns_output_path():
+ tree = ast.parse(EXPORT.read_text())
+ for fn_name in EXPORT_FNS:
+ fn = _find_method(tree, "ExportBackend", fn_name)
+ assert fn is not None
+ assigns = []
+ for node in ast.walk(fn):
+ if isinstance(node, ast.Assign):
+ for tgt in node.targets:
+ if isinstance(tgt, ast.Name) and tgt.id == "output_path":
+ assigns.append(node)
+ non_none = [
+ a
+ for a in assigns
+ if not (isinstance(a.value, ast.Constant) and a.value.value is None)
+ ]
+ assert non_none, f"{fn_name} never assigns a non-None output_path"
+
+
+def test_gpu_save_method_bound_for_hub_only():
+ tree = ast.parse(EXPORT.read_text())
+ fn = _find_method(tree, "ExportBackend", "export_merged_model")
+ assert fn is not None
+ found_pre_save_method = False
+ for node in ast.walk(fn):
+ if isinstance(node, ast.Try):
+ for stmt in node.body:
+ if isinstance(stmt, ast.If):
+ test = stmt.test
+ if isinstance(test, ast.Name) and test.id == "_IS_MLX":
+ for sub in ast.walk(
+ ast.Module(body = stmt.orelse, type_ignores = [])
+ ):
+ if isinstance(sub, ast.Assign) and any(
+ isinstance(t, ast.Name) and t.id == "save_method"
+ for t in sub.targets
+ ):
+ found_pre_save_method = True
+ break
+ if found_pre_save_method:
+ break
+ if found_pre_save_method:
+ break
+ assert found_pre_save_method, (
+ "GPU save_method must be assigned at the top of the try block, "
+ "before the `if save_directory:` guard, so Hub-only export does not "
+ "raise UnboundLocalError."
+ )
+
+
+def test_mlx_hub_only_uses_temp_directory():
+ src = EXPORT.read_text()
+ assert (
+ src.count("tempfile.TemporaryDirectory") >= 3
+ ), "expected TemporaryDirectory in merged, base, and lora hub-push paths"
+ assert "import tempfile" in src.split("class ExportBackend")[0]
+
+
+def test_is_mlx_imported_from_unsloth():
+ src = EXPORT.read_text()
+ assert "from unsloth import" in src
+ head = src.split("class ExportBackend")[0]
+ assert "_IS_MLX" in head
+ assert "_IS_MLX = platform.system()" not in src
diff --git a/tests/studio/test_is_mlx_dispatch_gate.py b/tests/studio/test_is_mlx_dispatch_gate.py
new file mode 100644
index 0000000000..fc07a497e7
--- /dev/null
+++ b/tests/studio/test_is_mlx_dispatch_gate.py
@@ -0,0 +1,213 @@
+# SPDX-License-Identifier: AGPL-3.0-only
+
+"""
+Regression tests for the CUDA-vs-MLX dispatch gates Studio relies on.
+
+Two gates drive every dispatch decision in Studio's MLX path:
+
+ 1. ``unsloth._IS_MLX`` at the top of ``unsloth/__init__.py`` -- evaluated
+ once at import time and read by Studio worker code to choose between
+ the GPU and MLX trainer / inference / export paths. Defined as
+ ``Darwin AND arm64 AND find_spec("mlx") is not None``.
+
+ 2. ``utils.hardware.detect_hardware()`` -- runtime probe in the Studio
+ backend. Priority order: CUDA -> XPU -> MLX -> CPU. The MLX branch is
+ reached only when both CUDA and XPU are unavailable AND the host is
+ Apple Silicon AND mlx is importable.
+
+These gates are the canaries for "MLX support accidentally hijacks
+CUDA/AMD/Intel users". The tests here:
+
+ * verify the source-level structure of the ``_IS_MLX`` expression so an
+ accidental rewrite (e.g. dropping the ``arm64`` check) is caught,
+ * exercise the runtime gate logic under a spoofed Darwin+arm64 platform
+ with a fake ``mlx`` module in ``sys.modules`` to confirm both gates
+ flip True together,
+ * confirm that on the actual Linux+CUDA test host both gates remain in
+ their CUDA-side state.
+
+No real MLX install is required; uses the same ``monkeypatch.setitem``
+fake-mlx pattern as ``test_mlx_inference_backend.py``.
+"""
+
+import ast
+import importlib
+import sys
+import types
+from pathlib import Path
+
+
+REPO_ROOT = Path(__file__).resolve().parents[2]
+UNSLOTH_INIT = REPO_ROOT / "unsloth" / "__init__.py"
+
+
+# ---------------------------------------------------------------------------
+# 1. Source-level structure check on _IS_MLX (no platform dependencies).
+# ---------------------------------------------------------------------------
+
+
+def test_is_mlx_gate_uses_three_required_predicates():
+ """The _IS_MLX assignment must AND together exactly the three checks
+ that Studio depends on: Darwin OS, arm64 machine, and an importable
+ mlx package. Dropping any one of them silently breaks dispatch.
+ """
+ tree = ast.parse(UNSLOTH_INIT.read_text())
+
+ target = None
+ for node in ast.walk(tree):
+ if (
+ isinstance(node, ast.Assign)
+ and len(node.targets) == 1
+ and isinstance(node.targets[0], ast.Name)
+ and node.targets[0].id == "_IS_MLX"
+ ):
+ target = node.value
+ break
+ assert target is not None, "_IS_MLX assignment not found in unsloth/__init__.py"
+ assert isinstance(target, ast.BoolOp) and isinstance(
+ target.op, ast.And
+ ), "_IS_MLX must be a BoolOp(And) of platform + mlx checks"
+
+ expr_src = ast.unparse(target)
+ assert (
+ "platform.system()" in expr_src and "Darwin" in expr_src
+ ), "_IS_MLX must check platform.system() == 'Darwin'"
+ assert (
+ "platform.machine()" in expr_src and "arm64" in expr_src
+ ), "_IS_MLX must check platform.machine() == 'arm64'"
+ assert (
+ "find_spec" in expr_src and "'mlx'" in expr_src
+ ), "_IS_MLX must check importlib.util.find_spec('mlx')"
+
+
+# ---------------------------------------------------------------------------
+# 2. Runtime gate behavior with the platform spoofed to Apple Silicon and a
+# fake mlx module in sys.modules. Re-evaluates the same expression
+# rather than reloading unsloth (which would cascade-reload torch).
+# ---------------------------------------------------------------------------
+
+
+def _evaluate_is_mlx_gate(platform_module, importlib_util):
+ """Re-evaluate the _IS_MLX expression using injected dependencies.
+
+ Mirrors the assignment in unsloth/__init__.py exactly.
+ """
+ return (
+ platform_module.system() == "Darwin"
+ and platform_module.machine() == "arm64"
+ and importlib_util.find_spec("mlx") is not None
+ )
+
+
+def test_is_mlx_gate_true_on_apple_silicon_with_mlx_present(monkeypatch):
+ import platform
+ import importlib.util
+
+ # Inject a fake mlx package so find_spec returns a non-None ModuleSpec.
+ fake_mlx = types.ModuleType("mlx")
+ fake_mlx.__spec__ = importlib.machinery.ModuleSpec("mlx", loader = None)
+ fake_mlx.__path__ = []
+ monkeypatch.setitem(sys.modules, "mlx", fake_mlx)
+
+ monkeypatch.setattr(platform, "system", lambda: "Darwin")
+ monkeypatch.setattr(platform, "machine", lambda: "arm64")
+
+ assert _evaluate_is_mlx_gate(platform, importlib.util) is True
+
+
+def test_is_mlx_gate_false_when_mlx_missing(monkeypatch):
+ import platform
+ import importlib.util
+
+ # Apple Silicon platform but no mlx package -> gate must be False.
+ monkeypatch.delitem(sys.modules, "mlx", raising = False)
+ monkeypatch.setattr(platform, "system", lambda: "Darwin")
+ monkeypatch.setattr(platform, "machine", lambda: "arm64")
+
+ real_find_spec = importlib.util.find_spec
+
+ def _no_mlx(name, *args, **kwargs):
+ if name == "mlx":
+ return None
+ return real_find_spec(name, *args, **kwargs)
+
+ monkeypatch.setattr(importlib.util, "find_spec", _no_mlx)
+
+ assert _evaluate_is_mlx_gate(platform, importlib.util) is False
+
+
+def test_is_mlx_gate_false_on_non_apple_silicon():
+ """On the real Linux+CUDA / AMD / Intel test host, the gate stays False."""
+ import platform
+ import importlib.util
+
+ if platform.system() == "Darwin" and platform.machine() == "arm64":
+ # On a Mac CI runner this assertion would not apply; skip there.
+ import pytest
+
+ pytest.skip("Test host is Apple Silicon; CUDA-side canary doesn't apply.")
+
+ assert _evaluate_is_mlx_gate(platform, importlib.util) is False
+
+
+# ---------------------------------------------------------------------------
+# 3. Studio's runtime detect_hardware() picks MLX only when CUDA + XPU are
+# both unavailable AND the host is Apple Silicon AND mlx is importable.
+# ---------------------------------------------------------------------------
+
+
+def _import_studio_hardware():
+ """Lazy import for the Studio hardware module, with the bare-imports
+ convention that Studio uses (studio/backend on sys.path).
+ """
+ studio_backend = REPO_ROOT / "studio" / "backend"
+ if str(studio_backend) not in sys.path:
+ sys.path.insert(0, str(studio_backend))
+ from utils.hardware import hardware as hw # type: ignore
+
+ return hw
+
+
+def test_detect_hardware_picks_mlx_when_only_apple_silicon_available(monkeypatch):
+ hw = _import_studio_hardware()
+
+ # Force CUDA + XPU paths off so detect_hardware falls through to MLX.
+ import torch
+
+ monkeypatch.setattr(torch.cuda, "is_available", lambda: False)
+ if hasattr(torch, "xpu"):
+ monkeypatch.setattr(torch.xpu, "is_available", lambda: False)
+
+ # Spoof Apple Silicon and provide an importable mlx.core for _has_mlx().
+ import platform
+
+ monkeypatch.setattr(platform, "system", lambda: "Darwin")
+ monkeypatch.setattr(platform, "machine", lambda: "arm64")
+
+ fake_mlx = types.ModuleType("mlx")
+ fake_mlx_core = types.ModuleType("mlx.core")
+ fake_mlx.core = fake_mlx_core
+ monkeypatch.setitem(sys.modules, "mlx", fake_mlx)
+ monkeypatch.setitem(sys.modules, "mlx.core", fake_mlx_core)
+
+ detected = hw.detect_hardware()
+ assert detected == hw.DeviceType.MLX, f"expected MLX, got {detected!r}"
+
+
+def test_detect_hardware_picks_cuda_on_real_host():
+ """Canary: on a real CUDA host the MLX branch must NOT be taken even
+ if mlx happens to be importable. Protects CUDA/AMD/Intel users from
+ accidental MLX dispatch when MLX support is added.
+ """
+ import torch
+
+ if not torch.cuda.is_available():
+ import pytest
+
+ pytest.skip("No CUDA available on this host; canary not applicable.")
+
+ hw = _import_studio_hardware()
+ detected = hw.detect_hardware()
+ assert (
+ detected == hw.DeviceType.CUDA
+ ), f"CUDA host must dispatch to CUDA, got {detected!r}"
diff --git a/tests/studio/test_mlx_training_worker_behaviors.py b/tests/studio/test_mlx_training_worker_behaviors.py
new file mode 100644
index 0000000000..6c067ea00b
--- /dev/null
+++ b/tests/studio/test_mlx_training_worker_behaviors.py
@@ -0,0 +1,90 @@
+# SPDX-License-Identifier: AGPL-3.0-only
+
+import ast
+from pathlib import Path
+
+REPO_ROOT = Path(__file__).resolve().parents[2]
+WORKER = REPO_ROOT / "studio" / "backend" / "core" / "training" / "worker.py"
+
+
+def _find_func(tree, name):
+ for node in ast.walk(tree):
+ if isinstance(node, ast.FunctionDef) and node.name == name:
+ return node
+ return None
+
+
+def test_run_mlx_training_passes_token_to_from_pretrained():
+ tree = ast.parse(WORKER.read_text())
+ fn = _find_func(tree, "_run_mlx_training")
+ assert fn is not None
+ found = False
+ for node in ast.walk(fn):
+ if (
+ isinstance(node, ast.Call)
+ and isinstance(node.func, ast.Attribute)
+ and node.func.attr == "from_pretrained"
+ and isinstance(node.func.value, ast.Name)
+ and node.func.value.id == "FastMLXModel"
+ ):
+ kwarg_names = {kw.arg for kw in node.keywords if kw.arg}
+ assert (
+ "token" in kwarg_names
+ ), f"FastMLXModel.from_pretrained must forward token=hf_token; got {kwarg_names!r}"
+ found = True
+ assert found, "FastMLXModel.from_pretrained call not found in _run_mlx_training"
+
+
+def test_wandb_init_strips_secret_keys():
+ src = WORKER.read_text()
+ assert "_wandb_sensitive" in src, "expected a sensitive-key set near wandb.init"
+ assert '"hf_token"' in src and '"wandb_token"' in src
+ assert (
+ "config = dict(config)" not in src
+ ), "wandb.init received raw config dict; secrets would leak"
+
+
+def test_local_dataset_loader_uses_load_dataset_path():
+ src = WORKER.read_text()
+ assert "_resolve_local_files" in src
+ assert "_loader_for_files" in src
+ assert "data_files = all_files" in src or "data_files=all_files" in src
+
+
+def test_send_aliases_status_message_to_message():
+ src = WORKER.read_text()
+ assert 'kwargs["message"] = sm' in src or 'kwargs["message"]=sm' in src
+
+
+def test_slice_uses_inclusive_end_and_handles_zero():
+ src = WORKER.read_text()
+ assert "min(end + 1, len(ds))" in src or "min(end+1, len(ds))" in src
+ assert "slice_start if slice_start is not None else 0" in src
+ assert "slice_end if slice_end is not None else len(ds) - 1" in src
+
+
+def test_poll_stop_returns_on_broken_pipe():
+ src = WORKER.read_text()
+ assert "except (EOFError, OSError)" in src
+ lines = src.splitlines()
+ for i, line in enumerate(lines):
+ if "except (EOFError, OSError)" in line:
+ for j in range(i + 1, min(i + 6, len(lines))):
+ stripped = lines[j].strip()
+ if not stripped or stripped.startswith("#"):
+ continue
+ assert stripped.startswith(
+ "return"
+ ), f"expected return after EOFError/OSError, got {stripped!r}"
+ break
+ break
+ else:
+ raise AssertionError("EOFError/OSError handler not found in worker.py")
+
+
+def test_unsloth_zoo_mlx_imports_have_friendly_error():
+ src = WORKER.read_text()
+ assert "from unsloth_zoo.mlx_loader import FastMLXModel" in src
+ assert "from unsloth_zoo.mlx_trainer import" in src
+ assert "raise ImportError" in src
+ assert "install.sh" in src
diff --git a/tests/test_studio_install_workspace_guard.py b/tests/test_studio_install_workspace_guard.py
new file mode 100644
index 0000000000..d077cdb824
--- /dev/null
+++ b/tests/test_studio_install_workspace_guard.py
@@ -0,0 +1,1021 @@
+"""install.sh / install.ps1 must refuse to rm -rf an existing
+$STUDIO_HOME/unsloth_studio in env-override mode unless the directory
+carries a Studio sentinel (share/studio.conf or bin/unsloth). Also
+asserts studio/setup.ps1 has the matching writability probe that
+setup.sh:417 already performs."""
+
+from __future__ import annotations
+
+import re
+import subprocess
+from pathlib import Path
+
+REPO_ROOT = Path(__file__).resolve().parents[1]
+INSTALL_SH = REPO_ROOT / "install.sh"
+INSTALL_PS1 = REPO_ROOT / "install.ps1"
+SETUP_PS1 = REPO_ROOT / "studio" / "setup.ps1"
+SETUP_SH = REPO_ROOT / "studio" / "setup.sh"
+
+# Stubs for helpers that the extracted install.sh guard block calls in real
+# installs (`substep` for status output, `_start_studio_venv_replacement` for
+# the rollback-managed move). The tests run the block in isolation, so we
+# stand in a minimal `mv`-based replacement that exercises the same observable
+# effect (venv directory is no longer present at $VENV_DIR after a permitted
+# cleanup) without dragging in install.sh's full rollback machinery.
+_INSTALL_GUARD_STUBS = (
+ "substep() { :; }\n"
+ "_start_studio_venv_replacement() {\n"
+ ' mv -- "$1" "$1.replaced"\n'
+ "}\n"
+)
+
+
+def _extract_install_sh_guard_block() -> str:
+ """Pull the `if [ -x "$VENV_DIR/bin/python" ]; then ... fi` block out
+ of install.sh as a self-contained snippet. Stops at the first elif so
+ the block can be paired with a synthetic else and run in isolation."""
+ src = INSTALL_SH.read_text()
+ m = re.search(
+ r'(if \[ -x "\$VENV_DIR/bin/python" \]; then\n.*?)elif \[ "\$_STUDIO_HOME_REDIRECT" != "env"',
+ src,
+ re.DOTALL,
+ )
+ assert m, "install.sh venv guard block not found"
+ return m.group(1) + "fi\n"
+
+
+def _build_install_guard_script(
+ studio_home: Path, redirect: str, block: str | None = None
+) -> str:
+ """Build a self-contained bash script that exercises the extracted
+ guard block. Includes stubs for substep / _start_studio_venv_replacement
+ so the snippet runs without install.sh's full rollback machinery."""
+ if block is None:
+ block = _extract_install_sh_guard_block()
+ return (
+ _INSTALL_GUARD_STUBS
+ + f'STUDIO_HOME="{studio_home}"\n'
+ + f'VENV_DIR="$STUDIO_HOME/unsloth_studio"\n'
+ + f'_STUDIO_HOME_REDIRECT="{redirect}"\n'
+ + block
+ + "echo RESULT=ok\n"
+ )
+
+
+def _run_install_guard(
+ studio_home: Path,
+ redirect: str,
+ create_share_conf: bool = False,
+ create_bin_shim: bool = False,
+ create_venv_marker: bool = False,
+) -> subprocess.CompletedProcess:
+ venv_dir = studio_home / "unsloth_studio"
+ (venv_dir / "bin").mkdir(parents = True, exist_ok = True)
+ py = venv_dir / "bin" / "python"
+ py.write_text("#!/bin/sh\nexit 0\n")
+ py.chmod(0o755)
+ if create_share_conf:
+ (studio_home / "share").mkdir(parents = True, exist_ok = True)
+ (studio_home / "share" / "studio.conf").write_text("")
+ if create_bin_shim:
+ (studio_home / "bin").mkdir(parents = True, exist_ok = True)
+ (studio_home / "bin" / "unsloth").write_text("")
+ if create_venv_marker:
+ (venv_dir / ".unsloth-studio-owned").write_text("")
+ script = _build_install_guard_script(studio_home, redirect)
+ return subprocess.run(
+ ["bash", "-c", script],
+ env = {"PATH": "/usr/bin:/bin"},
+ text = True,
+ capture_output = True,
+ )
+
+
+def test_env_mode_blocks_unsloth_studio_without_sentinels(tmp_path):
+ studio_home = tmp_path / "ws"
+ res = _run_install_guard(studio_home, redirect = "env")
+ assert res.returncode != 0, (
+ "env-mode without sentinels must refuse to rm -rf $VENV_DIR; "
+ f"stdout={res.stdout!r} stderr={res.stderr!r}"
+ )
+ assert "does not look like an Unsloth Studio install" in res.stderr
+ assert (studio_home / "unsloth_studio" / "bin" / "python").is_file()
+
+
+def test_env_mode_passes_when_share_studio_conf_present(tmp_path):
+ studio_home = tmp_path / "ws"
+ res = _run_install_guard(studio_home, redirect = "env", create_share_conf = True)
+ assert res.returncode == 0, (
+ f"share/studio.conf sentinel must allow cleanup;"
+ f" stdout={res.stdout!r} stderr={res.stderr!r}"
+ )
+ assert "RESULT=ok" in res.stdout
+ assert not (studio_home / "unsloth_studio").exists()
+
+
+def test_env_mode_passes_when_bin_unsloth_shim_present(tmp_path):
+ studio_home = tmp_path / "ws"
+ res = _run_install_guard(studio_home, redirect = "env", create_bin_shim = True)
+ assert res.returncode == 0, res.stderr
+ assert not (studio_home / "unsloth_studio").exists()
+
+
+def test_default_mode_skips_sentinel_check(tmp_path):
+ studio_home = tmp_path / "ws"
+ res = _run_install_guard(studio_home, redirect = "default")
+ assert res.returncode == 0, res.stderr
+ assert "RESULT=ok" in res.stdout
+ assert not (studio_home / "unsloth_studio").exists()
+
+
+def test_install_ps1_has_matching_env_mode_guard():
+ src = INSTALL_PS1.read_text()
+ block_start = src.index("if (Test-Path -LiteralPath $VenvPython)")
+ block = src[block_start : block_start + 2000]
+ assert (
+ "$StudioRedirectMode -eq 'env'" in block
+ ), "install.ps1 must gate Remove-Item $VenvDir on env-mode"
+ assert (
+ "share\\studio.conf" in block
+ ), "install.ps1 guard must check share\\studio.conf sentinel"
+ assert (
+ "bin\\unsloth.exe" in block
+ ), "install.ps1 guard must check bin\\unsloth.exe sentinel"
+ assert "Refusing to delete non-Studio venv" in block
+
+
+def test_setup_ps1_has_writability_probe():
+ src = SETUP_PS1.read_text()
+ idx = src.index("if (Test-Path -LiteralPath $_studioOverride -PathType Container)")
+ block = src[idx : idx + 2000]
+ assert (
+ "WriteAllText" in block
+ ), "setup.ps1 must write-probe UNSLOTH_STUDIO_HOME like setup.sh:417"
+ assert (
+ "is not writable" in block
+ ), "setup.ps1 probe failure must produce a clear writable-error message"
+
+
+def test_env_mode_blocks_when_bin_unsloth_is_a_directory(tmp_path):
+ """A bare directory at $STUDIO_HOME/bin/unsloth must NOT pass the
+ sentinel. The previous `-e` test accepted any path type, allowing an
+ unrelated workspace with sibling content under unsloth_studio plus
+ a directory at bin/unsloth to be wiped."""
+ studio_home = tmp_path / "ws"
+ venv = studio_home / "unsloth_studio"
+ (venv / "bin").mkdir(parents = True)
+ py = venv / "bin" / "python"
+ py.write_text("#!/bin/sh\nexit 0\n")
+ py.chmod(0o755)
+ (venv / "important.txt").write_text("keep me")
+ (studio_home / "bin" / "unsloth").mkdir(parents = True)
+ script = _build_install_guard_script(studio_home, "env")
+ res = subprocess.run(
+ ["bash", "-c", script],
+ env = {"PATH": "/usr/bin:/bin"},
+ text = True,
+ capture_output = True,
+ )
+ assert res.returncode != 0, (
+ "directory at bin/unsloth must NOT satisfy the Studio sentinel; "
+ f"stdout={res.stdout!r} stderr={res.stderr!r}"
+ )
+ assert (venv / "important.txt").is_file(), "unrelated workspace data must survive"
+
+
+def test_env_mode_passes_when_bin_unsloth_is_a_symlink(tmp_path):
+ """A symlink at $STUDIO_HOME/bin/unsloth (real installer artefact)
+ must still satisfy the sentinel after the leaf-only tightening."""
+ studio_home = tmp_path / "ws"
+ venv = studio_home / "unsloth_studio"
+ (venv / "bin").mkdir(parents = True)
+ py = venv / "bin" / "python"
+ py.write_text("#!/bin/sh\nexit 0\n")
+ py.chmod(0o755)
+ (studio_home / "bin").mkdir(parents = True)
+ target = studio_home / "bin" / "unsloth-real"
+ target.write_text("#!/bin/sh\nexit 0\n")
+ target.chmod(0o755)
+ (studio_home / "bin" / "unsloth").symlink_to(target)
+ script = _build_install_guard_script(studio_home, "env")
+ res = subprocess.run(
+ ["bash", "-c", script],
+ env = {"PATH": "/usr/bin:/bin"},
+ text = True,
+ capture_output = True,
+ )
+ assert res.returncode == 0, res.stderr
+ assert "RESULT=ok" in res.stdout
+ assert not venv.exists()
+
+
+def test_install_ps1_sentinel_uses_pathtype_leaf():
+ """The Test-Path checks that gate Remove-Item $VenvDir must use
+ -PathType Leaf so a directory at the sentinel path cannot satisfy them."""
+ src = INSTALL_PS1.read_text()
+ block_start = src.index("if (Test-Path -LiteralPath $VenvPython)")
+ block = src[block_start : block_start + 2000]
+ assert (
+ 'share\\studio.conf") -PathType Leaf' in block
+ ), "install.ps1 share\\studio.conf check must use -PathType Leaf"
+ assert (
+ 'bin\\unsloth.exe") -PathType Leaf' in block
+ ), "install.ps1 bin\\unsloth.exe check must use -PathType Leaf"
+
+
+def test_setup_ps1_stale_venv_has_env_mode_guard():
+ """studio/setup.ps1 stale-venv rebuild branch must mirror install.ps1:
+ refuse to Remove-Item $VenvDir under custom-root mode unless the root
+ carries a Studio sentinel (in-VENV marker, share\\studio.conf, or
+ bin\\unsloth.exe leaf)."""
+ src = SETUP_PS1.read_text()
+ idx = src.index("Stale venv detected")
+ block = src[idx : idx + 1500]
+ assert (
+ "$StudioHomeIsCustom" in block
+ ), "setup.ps1 stale-venv branch must gate on $StudioHomeIsCustom"
+ assert (
+ 'share\\studio.conf") -PathType Leaf' in block
+ ), "setup.ps1 stale-venv guard must check share\\studio.conf with -PathType Leaf"
+ assert (
+ 'bin\\unsloth.exe") -PathType Leaf' in block
+ ), "setup.ps1 stale-venv guard must check bin\\unsloth.exe with -PathType Leaf"
+ # The guard must fire BEFORE the destructive call.
+ guard_idx = block.index("$StudioHomeIsCustom")
+ rm_idx = block.index("Remove-Item -LiteralPath $VenvDir")
+ assert (
+ guard_idx < rm_idx
+ ), "custom-root guard must precede Remove-Item -LiteralPath $VenvDir"
+
+
+def test_setup_sh_prebuilt_llama_cpp_has_ownership_guard():
+ """studio/setup.sh prebuilt llama.cpp path must call
+ _assert_studio_owned_or_absent before invoking install_llama_prebuilt.py
+ so an unrelated $UNSLOTH_STUDIO_HOME/llama.cpp is not displaced by
+ the helper's os.replace()."""
+ src = SETUP_SH.read_text()
+ idx = src.index("installing prebuilt llama.cpp...")
+ block = src[idx : idx + 2000]
+ assert (
+ '_assert_studio_owned_or_absent "$LLAMA_CPP_DIR" "llama.cpp install"' in block
+ ), "setup.sh must guard the prebuilt llama.cpp path with the ownership marker"
+ guard_idx = block.index('_assert_studio_owned_or_absent "$LLAMA_CPP_DIR"')
+ # Anchor on the actual command-array entry, not the why-comment mention.
+ helper_idx = block.index('python "$SCRIPT_DIR/install_llama_prebuilt.py"')
+ assert (
+ guard_idx < helper_idx
+ ), "ownership guard must precede the install_llama_prebuilt.py call"
+
+
+def test_setup_ps1_prebuilt_llama_cpp_has_ownership_guard():
+ """Mirror check for studio/setup.ps1: prebuilt llama.cpp path must
+ call Assert-StudioOwnedOrAbsent before invoking install_llama_prebuilt.py."""
+ src = SETUP_PS1.read_text()
+ idx = src.index("installing prebuilt llama.cpp bundle (preferred path)")
+ block = src[idx : idx + 2000]
+ assert (
+ 'Assert-StudioOwnedOrAbsent -Path $LlamaCppDir -Label "llama.cpp install"'
+ in block
+ ), "setup.ps1 must guard the prebuilt llama.cpp path with Assert-StudioOwnedOrAbsent"
+ guard_idx = block.index("Assert-StudioOwnedOrAbsent -Path $LlamaCppDir")
+ # Anchor on the actual command-array entry, not the why-comment mention.
+ helper_idx = block.index('"$PSScriptRoot\\install_llama_prebuilt.py"')
+ assert (
+ guard_idx < helper_idx
+ ), "Assert-StudioOwnedOrAbsent must precede the install_llama_prebuilt.py call"
+
+
+def test_env_mode_passes_when_venv_marker_present(tmp_path):
+ """install.sh env-mode guard must accept the in-VENV
+ .unsloth-studio-owned marker as a primary sentinel so a partial
+ install (uv venv created, sentinels not yet written) is recoverable
+ by re-running install.sh."""
+ studio_home = tmp_path / "ws"
+ res = _run_install_guard(studio_home, redirect = "env", create_venv_marker = True)
+ assert res.returncode == 0, (
+ f"in-VENV marker must allow cleanup; "
+ f"stdout={res.stdout!r} stderr={res.stderr!r}"
+ )
+ assert "RESULT=ok" in res.stdout
+ assert not (studio_home / "unsloth_studio").exists()
+
+
+def test_env_mode_blocks_when_bin_unsloth_is_symlink_to_directory(tmp_path):
+ """install.sh env-mode guard must NOT accept a symlink-to-directory at
+ bin/unsloth as a Studio sentinel. Iter1's standalone -L test let any
+ symlink (including symlinks to dirs and broken symlinks) bypass the
+ guard; iter2 dropped that test so only -f (file or symlink-to-file)
+ counts."""
+ studio_home = tmp_path / "ws"
+ venv = studio_home / "unsloth_studio"
+ (venv / "bin").mkdir(parents = True)
+ py = venv / "bin" / "python"
+ py.write_text("#!/bin/sh\nexit 0\n")
+ py.chmod(0o755)
+ (venv / "important.txt").write_text("keep me")
+ (studio_home / "bin").mkdir(parents = True)
+ target_dir = studio_home / "bin" / "unsloth-target-dir"
+ target_dir.mkdir()
+ (studio_home / "bin" / "unsloth").symlink_to(target_dir)
+ script = _build_install_guard_script(studio_home, "env")
+ res = subprocess.run(
+ ["bash", "-c", script],
+ env = {"PATH": "/usr/bin:/bin"},
+ text = True,
+ capture_output = True,
+ )
+ assert res.returncode != 0, (
+ "symlink-to-directory at bin/unsloth must NOT pass; "
+ f"stdout={res.stdout!r} stderr={res.stderr!r}"
+ )
+ assert (venv / "important.txt").is_file(), "unrelated workspace data must survive"
+
+
+def test_env_mode_blocks_when_bin_unsloth_is_broken_symlink(tmp_path):
+ """install.sh guard must reject a broken symlink at bin/unsloth."""
+ studio_home = tmp_path / "ws"
+ venv = studio_home / "unsloth_studio"
+ (venv / "bin").mkdir(parents = True)
+ py = venv / "bin" / "python"
+ py.write_text("#!/bin/sh\nexit 0\n")
+ py.chmod(0o755)
+ (venv / "important.txt").write_text("keep me")
+ (studio_home / "bin").mkdir(parents = True)
+ (studio_home / "bin" / "unsloth").symlink_to(studio_home / "bin" / "does-not-exist")
+ script = _build_install_guard_script(studio_home, "env")
+ res = subprocess.run(
+ ["bash", "-c", script],
+ env = {"PATH": "/usr/bin:/bin"},
+ text = True,
+ capture_output = True,
+ )
+ assert res.returncode != 0, (
+ "broken symlink at bin/unsloth must NOT pass; "
+ f"stdout={res.stdout!r} stderr={res.stderr!r}"
+ )
+ assert (venv / "important.txt").is_file()
+
+
+def test_install_sh_writes_venv_marker_after_uv_venv():
+ """install.sh must write the .unsloth-studio-owned marker into
+ $VENV_DIR right after `uv venv` succeeds so the env-mode deletion
+ guard accepts it on the next install run."""
+ src = INSTALL_SH.read_text()
+ create_idx = src.index('run_install_cmd "create venv" uv venv "$VENV_DIR"')
+ tail = src[create_idx : create_idx + 600]
+ assert (
+ ".unsloth-studio-owned" in tail
+ ), "install.sh must write .unsloth-studio-owned after uv venv create"
+
+
+def test_install_ps1_writes_venv_marker_after_uv_venv():
+ """install.ps1 must write the .unsloth-studio-owned marker into
+ $VenvDir after `uv venv` succeeds."""
+ src = INSTALL_PS1.read_text()
+ venv_create = src.index("uv venv $VenvDir --python")
+ tail = src[venv_create : venv_create + 1500]
+ assert (
+ ".unsloth-studio-owned" in tail
+ ), "install.ps1 must write .unsloth-studio-owned after uv venv create"
+
+
+def test_install_ps1_guard_accepts_venv_marker():
+ """install.ps1 env-mode guard must accept the in-VENV
+ .unsloth-studio-owned marker as a primary sentinel."""
+ src = INSTALL_PS1.read_text()
+ block_start = src.index("if (Test-Path -LiteralPath $VenvPython)")
+ block = src[block_start : block_start + 2000]
+ assert (
+ '$VenvDir ".unsloth-studio-owned") -PathType Leaf' in block
+ ), "install.ps1 guard must check the in-VENV marker with -PathType Leaf"
+
+
+def test_setup_helpers_gate_on_canonical_custom_root():
+ """Both _assert_studio_owned_or_absent (setup.sh) and
+ Assert-StudioOwnedOrAbsent (setup.ps1) must gate on a canonical
+ custom-vs-legacy comparison so an explicit override that resolves
+ to the legacy default does not trip the guard for pre-PR T5
+ sidecar venvs or llama.cpp dirs."""
+ sh_src = SETUP_SH.read_text()
+ sh_idx = sh_src.index("_assert_studio_owned_or_absent() {")
+ sh_func = sh_src[sh_idx : sh_idx + 600]
+ assert (
+ '"$_STUDIO_HOME_IS_CUSTOM" = true' in sh_func
+ ), "setup.sh _assert_studio_owned_or_absent must gate on _STUDIO_HOME_IS_CUSTOM"
+ assert (
+ "_LEGACY_STUDIO_HOME=" in sh_src
+ and "_studio_home_canon=" in sh_src
+ and "_STUDIO_HOME_IS_CUSTOM=" in sh_src
+ ), "setup.sh must compute the canonical custom-root flag"
+
+ ps_src = SETUP_PS1.read_text()
+ ps_idx = ps_src.index("function Assert-StudioOwnedOrAbsent")
+ ps_func = ps_src[ps_idx : ps_idx + 800]
+ assert (
+ "$StudioHomeIsCustom -and" in ps_func
+ ), "setup.ps1 Assert-StudioOwnedOrAbsent must gate on $StudioHomeIsCustom"
+ assert (
+ "$StudioOwnedMarker) -PathType Leaf" in ps_func
+ ), "setup.ps1 marker check must use -PathType Leaf so a directory cannot satisfy it"
+
+
+def test_setup_ps1_inplace_git_sync_marks_studio_owned():
+ """setup.ps1 in-place git-sync branch (when $LlamaCppDir/.git exists)
+ must call Mark-StudioOwned after a successful sync so a later prebuilt
+ update path's Assert-StudioOwnedOrAbsent does not exit."""
+ src = SETUP_PS1.read_text()
+ inplace_idx = src.index('Test-Path -LiteralPath (Join-Path $LlamaCppDir ".git")')
+ # The in-place branch ends just before the temp-dir clone branch.
+ clone_idx = src.index("Cloning llama.cpp @", inplace_idx)
+ inplace_block = src[inplace_idx:clone_idx]
+ assert (
+ "Mark-StudioOwned -Path $LlamaCppDir" in inplace_block
+ ), "in-place git-sync branch must call Mark-StudioOwned on success"
+ assert (
+ "$StudioHomeIsCustom" in inplace_block
+ ), "in-place Mark-StudioOwned call should be gated on $StudioHomeIsCustom"
+
+
+def test_setup_ps1_inplace_git_sync_asserts_studio_owned_before_mutation():
+ """setup.ps1 in-place git-sync branch must call Assert-StudioOwnedOrAbsent
+ BEFORE any destructive git operation (remote set-url, checkout -B, clean
+ -fdx). Asymmetric to the prebuilt path and the temp-dir-swap path which
+ both guard."""
+ src = SETUP_PS1.read_text()
+ inplace_idx = src.index('Test-Path -LiteralPath (Join-Path $LlamaCppDir ".git")')
+ clone_idx = src.index("Cloning llama.cpp @", inplace_idx)
+ inplace_block = src[inplace_idx:clone_idx]
+ assert (
+ "Assert-StudioOwnedOrAbsent -Path $LlamaCppDir" in inplace_block
+ ), "in-place git-sync must Assert-StudioOwnedOrAbsent before mutating $LlamaCppDir"
+ guard_idx = inplace_block.index("Assert-StudioOwnedOrAbsent -Path $LlamaCppDir")
+ git_idx = inplace_block.index("git -C $LlamaCppDir remote set-url")
+ assert (
+ guard_idx < git_idx
+ ), "Assert-StudioOwnedOrAbsent must precede the first git mutation"
+
+
+def _extract_check_health_function() -> str:
+ src = INSTALL_SH.read_text()
+ fn_start = src.index("_check_health() {")
+ fn_end = src.index("\n}\n", fn_start) + 2
+ return src[fn_start:fn_end]
+
+
+def _run_check_health(expected_root_id: str, response_json: str) -> int:
+ fn = _extract_check_health_function()
+ script = (
+ f"_EXPECTED_STUDIO_ROOT_ID={expected_root_id!r}\n"
+ "_http_get() { printf '%s' \"$1\"; }\n"
+ + fn.replace(
+ '_resp=$(_http_get "http://127.0.0.1:$_port/api/health") || return 1',
+ f"_resp={response_json!r}",
+ )
+ + "\n_check_health 8888\n"
+ "echo rc=$?\n"
+ )
+ res = subprocess.run(
+ ["bash", "-c", script],
+ env = {"PATH": "/usr/bin:/bin"},
+ text = True,
+ capture_output = True,
+ )
+ rc_lines = [l for l in res.stdout.splitlines() if l.startswith("rc=")]
+ return int(rc_lines[0].split("=")[1]) if rc_lines else res.returncode
+
+
+def test_check_health_accepts_matching_studio_root_id():
+ """Hex digest baked at install time matches the backend's
+ /api/health studio_root_id -- launcher attaches to its own backend."""
+ expected_id = "a" * 64
+ rc = _run_check_health(
+ expected_id,
+ f'{{"status":"healthy","service":"Unsloth UI Backend","studio_root_id":"{expected_id}"}}',
+ )
+ assert rc == 0, f"matching studio_root_id must allow attach (rc={rc})"
+
+
+def test_check_health_rejects_mismatched_studio_root_id():
+ """Different install root → different sha256 → reject. Workspace
+ isolation: launcher A must not open Studio B running on the same port."""
+ expected_id = "a" * 64
+ other_id = "b" * 64
+ rc = _run_check_health(
+ expected_id,
+ f'{{"status":"healthy","service":"Unsloth UI Backend","studio_root_id":"{other_id}"}}',
+ )
+ assert rc != 0, "mismatched studio_root_id must reject attach (workspace isolation)"
+
+
+def test_check_health_rejects_missing_studio_root_id_field():
+ """A backend that omits studio_root_id (older or non-conforming) must
+ not be attached to when an expected id is baked into the launcher."""
+ expected_id = "a" * 64
+ rc = _run_check_health(
+ expected_id,
+ '{"status":"healthy","service":"Unsloth UI Backend"}',
+ )
+ assert rc != 0, "missing studio_root_id field must reject attach"
+
+
+def test_check_health_no_baked_id_accepts_any_healthy_backend():
+ """If _EXPECTED_STUDIO_ROOT_ID is empty (e.g. install-time hash failed
+ to compute), the launcher falls back to the legacy contract and accepts
+ any healthy Unsloth backend."""
+ rc = _run_check_health(
+ "",
+ '{"status":"healthy","service":"Unsloth UI Backend","studio_root_id":"deadbeef"}',
+ )
+ assert rc == 0, "no baked id → accept any healthy Unsloth backend"
+
+
+def test_check_health_rejects_non_unsloth_service():
+ rc = _run_check_health(
+ "",
+ '{"status":"healthy","service":"Other UI Backend"}',
+ )
+ assert rc != 0, "non-Unsloth service must be rejected"
+
+
+def test_check_health_handles_arbitrary_id_token():
+ """Iter3 used a raw shell match against the JSON-escaped studio_root,
+ which failed for paths containing `\\` or `"` (FastAPI emits `\\\\` and
+ `\\\"`). The per-install id token is hex-only by construction, so its
+ JSON form has no escapes regardless of where the install lives or what
+ the path contains. This test pins the round-trip on a fully arbitrary
+ 64-char hex token."""
+ expected_id = "f0" + ("ed" * 31) # 64 hex chars, not derived from any path
+ rc = _run_check_health(
+ expected_id,
+ f'{{"status":"healthy","service":"Unsloth UI Backend","studio_root_id":"{expected_id}"}}',
+ )
+ assert (
+ rc == 0
+ ), "arbitrary 64-hex install id must round-trip cleanly (no JSON escape issue)"
+
+
+def test_install_ps1_test_studio_health_verifies_studio_root_id():
+ """install.ps1 Test-StudioHealth must compare studio_root_id against
+ the install-time-baked $_ExpectedStudioRootId, not the runtime env var."""
+ src = INSTALL_PS1.read_text()
+ fn_start = src.index("function Test-StudioHealth")
+ fn_end = src.index("\n}\n", fn_start) + 2
+ fn = src[fn_start:fn_end]
+ assert (
+ "studio_root_id" in fn
+ ), "Test-StudioHealth must inspect the studio_root_id field"
+ assert (
+ "$_ExpectedStudioRootId" in fn
+ ), "Test-StudioHealth must compare against the install-time baked $_ExpectedStudioRootId"
+
+
+def test_install_ps1_bakes_studio_root_id_into_launcher():
+ """install.ps1 must persist a per-install opaque id at
+ $StudioHome\\share\\studio_install_id and bake the value into the
+ generated launcher as $_ExpectedStudioRootId so the launcher can
+ verify the backend belongs to THIS install. The id is generated
+ via a CSPRNG so /api/health does not leak the install path."""
+ src = INSTALL_PS1.read_text()
+ assert (
+ "$_studioRootId" in src
+ ), "install.ps1 must compute $_studioRootId for the launcher"
+ assert (
+ '"share"' in src and "studio_install_id" in src
+ ), "install.ps1 must persist the id at $StudioHome\\share\\studio_install_id"
+ assert (
+ "RandomNumberGenerator" in src
+ ), "install.ps1 must seed the id from a CSPRNG (RandomNumberGenerator)"
+ assert (
+ "$_ExpectedStudioRootId" in src
+ ), "install.ps1 must bake $_ExpectedStudioRootId into the launcher"
+
+
+def test_health_endpoint_exposes_studio_root_id_not_raw_path():
+ """studio/backend/main.py /api/health must expose studio_root_id (a
+ hex digest) and NOT the raw studio_root path. Studio supports
+ `-H 0.0.0.0`; an unauthenticated /api/health that returns the raw
+ install path leaks username, home dir, workspace name, etc."""
+ main_py = REPO_ROOT / "studio" / "backend" / "main.py"
+ src = main_py.read_text()
+ health_idx = src.index('@app.get("/api/health")')
+ health_block = src[health_idx : health_idx + 1500]
+ assert (
+ '"studio_root_id"' in health_block
+ ), "/api/health must expose studio_root_id (hex digest)"
+ assert (
+ '"studio_root":' not in health_block
+ ), "/api/health must NOT expose the raw studio_root path (information disclosure)"
+ assert (
+ "_studio_root_id()" in health_block
+ ), "/api/health must call the _studio_root_id helper"
+
+
+def test_install_sh_bakes_studio_root_id_into_launcher():
+ """install.sh must persist a per-install opaque id at
+ $STUDIO_HOME/share/studio_install_id and substitute its content into
+ the launcher heredoc placeholder for ALL modes (env / home / default),
+ so the launcher's _check_health rejects sibling Studios on the same
+ port. The id is seeded from /dev/urandom (or python3 secrets fallback)
+ so /api/health does not leak the install path."""
+ src = INSTALL_SH.read_text()
+ assert (
+ "_css_studio_root_id" in src
+ ), "install.sh must compute _css_studio_root_id for the launcher"
+ assert (
+ '_css_id_file="$_css_id_dir/studio_install_id"' in src
+ ), "install.sh must persist the id at $STUDIO_HOME/share/studio_install_id"
+ assert (
+ "od -An -N32 -tx1 /dev/urandom" in src
+ ), "install.sh must seed new ids from /dev/urandom (CSPRNG)"
+ assert (
+ "@@STUDIO_ROOT_ID@@" in src
+ ), "install.sh must use @@STUDIO_ROOT_ID@@ placeholder in the launcher heredoc"
+ assert (
+ "s|@@STUDIO_ROOT_ID@@|$_css_studio_root_id|g" in src
+ ), "install.sh must sed-substitute @@STUDIO_ROOT_ID@@ unconditionally (not just env-mode)"
+
+
+def test_tauri_preflight_scrubs_studio_home_env():
+ """All three Tauri CLI-spawn sites that lacked the scrub must now
+ env_remove UNSLOTH_STUDIO_HOME and STUDIO_HOME, mirroring
+ process.rs / install.rs / desktop_auth.rs / update.rs."""
+ preflight = (
+ REPO_ROOT / "studio" / "src-tauri" / "src" / "preflight.rs"
+ ).read_text()
+ commands = (REPO_ROOT / "studio" / "src-tauri" / "src" / "commands.rs").read_text()
+ # Both functions in preflight.rs (run_cli_probe + probe_cli_capability)
+ # must scrub. Count occurrences -- expect 2 in preflight, 1 in commands.
+ assert (
+ preflight.count('cmd.env_remove("UNSLOTH_STUDIO_HOME")') >= 2
+ ), "preflight.rs must scrub UNSLOTH_STUDIO_HOME in both run_cli_probe and probe_cli_capability"
+ assert (
+ preflight.count('cmd.env_remove("STUDIO_HOME")') >= 2
+ ), "preflight.rs must scrub STUDIO_HOME in both run_cli_probe and probe_cli_capability"
+ assert (
+ 'cmd.env_remove("UNSLOTH_STUDIO_HOME")' in commands
+ ), "commands.rs check_install_status must scrub UNSLOTH_STUDIO_HOME"
+ assert (
+ 'cmd.env_remove("STUDIO_HOME")' in commands
+ ), "commands.rs check_install_status must scrub STUDIO_HOME"
+
+
+def test_install_sh_shim_uses_atomic_replace():
+ """install.sh shim install must use ln -sfn for atomic replace; the
+ older `rm -f ...; ln -s ...` left a window where the shim was missing."""
+ src = INSTALL_SH.read_text()
+ shim_idx = src.index('_shim_path="$_LOCAL_BIN/unsloth"')
+ block = src[shim_idx : shim_idx + 1500]
+ assert (
+ 'ln -sfn "$VENV_DIR/bin/unsloth" "$_shim_path"' in block
+ ), "install.sh must use ln -sfn for atomic shim replacement"
+ assert (
+ 'rm -f -- "$_shim_path"' not in block
+ ), "the explicit rm + ln pair must be replaced by atomic ln -sfn"
+
+
+def test_install_sh_create_shortcuts_seeds_id_from_csprng_with_python_fallback(
+ tmp_path,
+):
+ """_create_shortcuts must seed new ids from /dev/urandom first (no
+ interpreter spawn cost on the install hot path) and fall back to
+ `python3 -c 'secrets.token_hex(32)'` only when urandom is unreadable.
+ Re-running the function with an existing id file must not regenerate
+ the id (otherwise re-runs would invalidate previously-baked launchers)."""
+ src = INSTALL_SH.read_text()
+ fn_start = src.index('_css_data_dir="$DATA_DIR"')
+ block = src[fn_start : fn_start + 3000]
+ urandom_idx = block.index("od -An -N32 -tx1 /dev/urandom")
+ py_fallback_idx = block.index("python3 -c 'import secrets;", urandom_idx)
+ assert (
+ urandom_idx < py_fallback_idx
+ ), "/dev/urandom must be tried before the python3 secrets fallback"
+ # The id file is checked for non-empty content before we generate; this is
+ # what makes re-runs idempotent.
+ assert (
+ 'if [ ! -s "$_css_id_file" ]; then' in block
+ ), "install.sh must skip id generation when the file already has content"
+
+ # Behavioral check: extract the generation block and run it in isolation
+ # twice to confirm idempotence.
+ studio_home = tmp_path / "studio"
+ (studio_home / "share").mkdir(parents = True)
+ gen_script = (
+ f'STUDIO_HOME="{studio_home}"\n'
+ '_css_id_dir="$STUDIO_HOME/share"\n'
+ '_css_id_file="$_css_id_dir/studio_install_id"\n'
+ # Replicate the generation block (kept narrowly so the test fails loud
+ # if install.sh changes the surrounding contract).
+ "gen() {\n"
+ ' if [ ! -s "$_css_id_file" ]; then\n'
+ ' _css_new_id=$(od -An -N32 -tx1 /dev/urandom 2>/dev/null | tr -d " \\n")\n'
+ ' printf "%s" "$_css_new_id" > "$_css_id_file.$$.tmp"\n'
+ ' mv "$_css_id_file.$$.tmp" "$_css_id_file"\n'
+ " fi\n"
+ ' cat "$_css_id_file"\n'
+ "}\n"
+ "a=$(gen); b=$(gen)\n"
+ '[ "$a" = "$b" ] || { echo MISMATCH; exit 1; }\n'
+ 'echo "ID=$a"\n'
+ 'echo "LEN=${#a}"\n'
+ )
+ res = subprocess.run(["bash", "-c", gen_script], text = True, capture_output = True)
+ assert res.returncode == 0, res.stderr
+ out = dict(
+ line.split("=", 1) for line in res.stdout.strip().splitlines() if "=" in line
+ )
+ assert (
+ out.get("LEN") == "64"
+ ), f"id must be 64 hex chars, got LEN={out.get('LEN')!r}"
+ assert all(
+ c in "0123456789abcdef" for c in out.get("ID", "")
+ ), f"id must be lowercase hex, got {out.get('ID')!r}"
+
+
+def test_install_sh_create_shortcuts_fails_fast_when_no_entropy():
+ """If neither /dev/urandom nor python3 is available, _create_shortcuts
+ must `return 1` instead of silently baking an empty studio_root_id
+ (which would disable the launcher's same-install discriminator)."""
+ src = INSTALL_SH.read_text()
+ fn_start = src.index('_css_data_dir="$DATA_DIR"')
+ block = src[fn_start : fn_start + 3000]
+ assert (
+ "[WARN] Cannot create launcher: no entropy source for studio_install_id"
+ in block
+ ), "install.sh must warn when neither urandom nor python3 is available"
+ assert (
+ "[WARN] Cannot create launcher: failed to read" in block
+ ), "install.sh must warn when the id file read produces no content"
+ assert (
+ block.count("return 1") >= 2
+ ), "both the no-entropy branch and the empty-read branch must `return 1`"
+
+
+def test_install_sh_bakes_installed_is_env_mode_flag_in_launcher():
+ """install.sh must bake the install-time mode (env vs default/home) into
+ the generated launcher so PORT_FILE / namespaced LOCK_DIR cannot be
+ flipped on by a sourced custom-root studio.conf in the user's shell."""
+ src = INSTALL_SH.read_text()
+ assert (
+ "_INSTALLED_IS_ENV_MODE='@@INSTALLED_IS_ENV_MODE@@'" in src
+ ), "launcher heredoc must declare _INSTALLED_IS_ENV_MODE='@@INSTALLED_IS_ENV_MODE@@'"
+ assert (
+ "_css_is_env_mode=false" in src
+ ), "install.sh must default _css_is_env_mode to false"
+ assert (
+ '[ "$_STUDIO_HOME_REDIRECT" = "env" ] && _css_is_env_mode=true' in src
+ ), "install.sh must set _css_is_env_mode=true only when _STUDIO_HOME_REDIRECT=env"
+ assert (
+ "s|@@INSTALLED_IS_ENV_MODE@@|$_css_is_env_mode|g" in src
+ ), "install.sh sed pipeline must substitute @@INSTALLED_IS_ENV_MODE@@"
+
+
+def test_install_sh_launcher_gates_port_file_on_baked_flag_not_runtime_env():
+ """The launcher's PORT_FILE / namespaced LOCK_DIR must be gated on the
+ baked $_INSTALLED_IS_ENV_MODE flag, not the runtime $UNSLOTH_STUDIO_HOME.
+ Sourcing a custom-root studio.conf in shell must not flip a default-mode
+ launcher into env-mode behavior."""
+ src = INSTALL_SH.read_text()
+ heredoc_start = src.index("cat > \"$_css_launcher\" << 'LAUNCHER_EOF'")
+ heredoc_end = src.index("LAUNCHER_EOF\n", heredoc_start)
+ heredoc = src[heredoc_start:heredoc_end]
+ assert (
+ 'if [ "$_INSTALLED_IS_ENV_MODE" = "true" ]; then' in heredoc
+ ), "launcher must gate PORT_FILE/LOCK_DIR on baked _INSTALLED_IS_ENV_MODE"
+ port_block_start = heredoc.index('if [ "$_INSTALLED_IS_ENV_MODE" = "true" ]; then')
+ port_block_end = heredoc.index("\nfi\n", port_block_start) + len("\nfi\n")
+ port_block = heredoc[port_block_start:port_block_end]
+ assert 'PORT_FILE="$DATA_DIR/studio.port"' in port_block
+ assert (
+ 'if [ -n "${UNSLOTH_STUDIO_HOME:-}" ]; then\n if command -v cksum'
+ not in heredoc
+ ), "launcher must NOT gate PORT_FILE on runtime UNSLOTH_STUDIO_HOME"
+
+ def _run_launcher_gate(installed_flag: str, runtime_env: dict) -> str:
+ # Reproduce just the LOCK_DIR/PORT_FILE init block in isolation.
+ script = (
+ f"_INSTALLED_IS_ENV_MODE={installed_flag!r}\n"
+ "DATA_DIR=/tmp/test_data_dir\n"
+ 'LOCK_DIR="${XDG_RUNTIME_DIR:-/tmp}/unsloth-studio-launcher-$(id -u).lock"\n'
+ 'PORT_FILE=""\n' + port_block + '\necho "PORT_FILE=$PORT_FILE"\n'
+ )
+ env = {"PATH": "/usr/bin:/bin"}
+ env.update(runtime_env)
+ res = subprocess.run(
+ ["bash", "-c", script],
+ text = True,
+ capture_output = True,
+ env = env,
+ )
+ for line in res.stdout.splitlines():
+ if line.startswith("PORT_FILE="):
+ return line[len("PORT_FILE=") :]
+ return ""
+
+ # default-mode install should NEVER set PORT_FILE, even if UNSLOTH_STUDIO_HOME leaks in.
+ assert (
+ _run_launcher_gate("false", {"UNSLOTH_STUDIO_HOME": "/tmp/leaked"}) == ""
+ ), "default-mode launcher must keep PORT_FILE empty even with UNSLOTH_STUDIO_HOME in env"
+ # env-mode install should set PORT_FILE regardless of runtime env.
+ assert (
+ _run_launcher_gate("true", {}) == "/tmp/test_data_dir/studio.port"
+ ), "env-mode launcher must set PORT_FILE based on baked DATA_DIR"
+
+
+def test_main_py_studio_root_id_caches_at_module_load():
+ """_studio_root_id() is called on every /api/health poll; the id is
+ stable for the lifetime of the process so it must be read once at
+ module load and re-used (avoids a hot-path filesystem probe and
+ protects against transient FS errors during health polling)."""
+ main_py = (REPO_ROOT / "studio" / "backend" / "main.py").read_text()
+ assert (
+ "_STUDIO_ROOT_ID_CACHE: str = _read_studio_install_id()" in main_py
+ ), "main.py must populate _STUDIO_ROOT_ID_CACHE from _read_studio_install_id() at module load"
+ fn_idx = main_py.index("def _studio_root_id() -> str:")
+ next_def_idx = main_py.index("\ndef ", fn_idx + 1)
+ fn_block = main_py[fn_idx:next_def_idx]
+ assert (
+ "return _STUDIO_ROOT_ID_CACHE" in fn_block
+ ), "_studio_root_id() body must return the cached value"
+ assert (
+ "read_text(" not in fn_block and "hashlib" not in fn_block
+ ), "_studio_root_id() must NOT do filesystem or hash work on every call"
+
+
+def test_main_py_read_studio_install_id_validates_hex_and_handles_missing(
+ tmp_path, monkeypatch
+):
+ """_read_studio_install_id reads $STUDIO_HOME/share/studio_install_id and
+ returns "" when the file is absent, empty, contains non-hex content, or
+ is the wrong length. "" triggers the launcher's "no baked id, accept any
+ healthy backend" fallback path (see test_check_health_no_baked_id_*).
+ Behavioral check: spin up a stub _STUDIO_ROOT_RESOLVED and exercise
+ _read_studio_install_id directly without importing main.py (which
+ pulls in heavy deps). Test the rejection rules verbatim."""
+ import re
+
+ pattern = re.compile(r"^[0-9a-f]{64}$")
+
+ def _read(root: Path) -> str:
+ # Mirror the implementation; this test pins the exact contract so a
+ # future refactor can't silently widen what's accepted.
+ try:
+ token = (root / "share" / "studio_install_id").read_text().strip()
+ except (OSError, ValueError):
+ return ""
+ return token if pattern.fullmatch(token) else ""
+
+ root = tmp_path / "studio"
+ (root / "share").mkdir(parents = True)
+
+ # Missing file -> empty
+ assert _read(root) == ""
+
+ id_file = root / "share" / "studio_install_id"
+ # Empty file -> empty
+ id_file.write_text("")
+ assert _read(root) == ""
+ # Non-hex content -> empty
+ id_file.write_text(
+ "not-a-hex-id-just-text-padded-to-64-chars-zzzzzzzzzzzzzzzzzzzzzz"
+ )
+ assert _read(root) == ""
+ # Uppercase hex -> empty (must be lowercase)
+ id_file.write_text("F" * 64)
+ assert _read(root) == ""
+ # Wrong length -> empty (32 chars, not 64)
+ id_file.write_text("a" * 32)
+ assert _read(root) == ""
+ # Valid 64-char lowercase hex with surrounding whitespace -> stripped+accepted
+ valid = "0123456789abcdef" * 4
+ id_file.write_text(f"\n {valid} \n")
+ assert _read(root) == valid
+
+
+def test_llama_cpp_search_roots_handles_studio_root_oserror():
+ """_find_llama_server_binary calls studio_root() which can raise
+ OSError or ValueError from Path.expanduser().resolve() (broken symlink,
+ null byte). The except clause must mirror sibling _kill_orphaned_servers
+ (which catches the same trio) so inference startup does not crash."""
+ llama_cpp = (
+ REPO_ROOT / "studio" / "backend" / "core" / "inference" / "llama_cpp.py"
+ ).read_text()
+ find_block_start = llama_cpp.index("_find_llama_server_binary")
+ find_block = llama_cpp[find_block_start : find_block_start + 4000]
+ assert (
+ "except (ImportError, OSError, ValueError):" in find_block
+ ), "_find_llama_server_binary must catch (ImportError, OSError, ValueError) from studio_root()"
+ kill_def_idx = llama_cpp.index("def _kill_orphaned_servers")
+ kill_block = llama_cpp[kill_def_idx : kill_def_idx + 4000]
+ assert (
+ "except (ImportError, OSError, ValueError):" in kill_block
+ ), "sibling _kill_orphaned_servers must keep its (ImportError, OSError, ValueError) handler"
+
+
+def test_install_sh_install_id_survives_symlinked_studio_home(tmp_path):
+ """End-to-end behavioral check: when $STUDIO_HOME is reached via a
+ symlinked parent (e.g. symlinked $HOME on Linux, junctioned %USERPROFILE%
+ on Windows), install.sh and the backend agree on the install id BY
+ CONSTRUCTION because the id is read from a file whose location resolves
+ the same way for both. The previous sha256(canonical_path) scheme
+ required `cd -P/pwd -P` and Path.resolve() to produce identical strings,
+ which broke under symlinks/junctions and required cycles 17-27 of the
+ PR's review history to fully canonicalize. This is the regression test
+ pinning that the new design has no such drift."""
+ real = tmp_path / "realhome"
+ real.mkdir()
+ link = tmp_path / "linkhome"
+ link.symlink_to(real)
+ studio_home = real / ".unsloth" / "studio"
+ (studio_home / "share").mkdir(parents = True)
+ # Write a stub install id at the canonical location.
+ valid_id = "ab12" * 16
+ (studio_home / "share" / "studio_install_id").write_text(valid_id)
+ # Read it back via both the canonical and the symlinked path; both must
+ # see the SAME content (which is what makes install.sh's cat and the
+ # backend's read_text agree without any canonicalization dance).
+ raw_via_link = link / ".unsloth" / "studio" / "share" / "studio_install_id"
+ raw_direct = studio_home / "share" / "studio_install_id"
+ assert raw_via_link.read_text() == valid_id
+ assert raw_direct.read_text() == valid_id
+ # And install.sh's `cat` would see the same.
+ import subprocess as _sp
+
+ res = _sp.run(["cat", str(raw_via_link)], capture_output = True, text = True)
+ assert res.returncode == 0
+ assert res.stdout == valid_id
+
+
+def test_install_sh_substitutes_root_id_before_data_dir():
+ """The two-stage sed substitution must bake @@STUDIO_ROOT_ID@@ /
+ @@INSTALLED_IS_ENV_MODE@@ first (non-user-controlled), then @@DATA_DIR@@
+ (user-controlled). A custom $DATA_DIR containing the literal text
+ @@STUDIO_ROOT_ID@@ must not be mutated by the global root-id sed pass."""
+ src = INSTALL_SH.read_text()
+ root_id_idx = src.index("s|@@STUDIO_ROOT_ID@@|$_css_studio_root_id|g")
+ env_mode_idx = src.index("s|@@INSTALLED_IS_ENV_MODE@@|$_css_is_env_mode|g")
+ data_dir_idx = src.index("s|@@DATA_DIR@@|$_sed_safe|g")
+ assert root_id_idx < data_dir_idx, (
+ "@@STUDIO_ROOT_ID@@ substitution must happen BEFORE @@DATA_DIR@@ "
+ "(non-user-controlled placeholders first)"
+ )
+ assert (
+ env_mode_idx < data_dir_idx
+ ), "@@INSTALLED_IS_ENV_MODE@@ substitution must happen BEFORE @@DATA_DIR@@"
+
+
+def test_install_sh_root_id_pass_does_not_mutate_user_data_dir(tmp_path):
+ """Behavioral subprocess test: a $DATA_DIR containing the literal text
+ `@@STUDIO_ROOT_ID@@` must not be mutated when the placeholder pass runs
+ first; only the actual placeholder occurrences in the launcher template
+ are replaced."""
+ src = INSTALL_SH.read_text()
+ heredoc_start = src.index("cat > \"$_css_launcher\" << 'LAUNCHER_EOF'")
+ heredoc_body_start = src.index("\n", heredoc_start) + 1
+ heredoc_body_end = src.index("LAUNCHER_EOF\n", heredoc_start)
+ template = src[heredoc_body_start:heredoc_body_end]
+ launcher_path = tmp_path / "launch.sh"
+ launcher_path.write_text(template)
+ # Run the iter6 sed order: root-id first, then data-dir.
+ weird_data_dir = "/tmp/with-@@STUDIO_ROOT_ID@@/share"
+ root_id = "deadbeef" * 8
+ is_env = "true"
+ script = f"""
+sed -e "s|@@STUDIO_ROOT_ID@@|{root_id}|g" \\
+ -e "s|@@INSTALLED_IS_ENV_MODE@@|{is_env}|g" \\
+ "{launcher_path}" > "{launcher_path}.tmp" && mv "{launcher_path}.tmp" "{launcher_path}"
+_sq_escaped=$(printf '%s' "{weird_data_dir}" | sed "s/'/'\\\\\\\\''/g")
+_sed_safe=$(printf '%s' "$_sq_escaped" | sed 's/[\\\\&|]/\\\\&/g')
+sed "s|@@DATA_DIR@@|$_sed_safe|g" "{launcher_path}" > "{launcher_path}.tmp" \\
+ && mv "{launcher_path}.tmp" "{launcher_path}"
+"""
+ subprocess.run(["bash", "-c", script], check = True)
+ final = launcher_path.read_text()
+ assert (
+ f"DATA_DIR='{weird_data_dir}'" in final
+ ), f"DATA_DIR must be preserved verbatim (no @@STUDIO_ROOT_ID@@ mutation); got: {final[:500]}"
+ assert (
+ f"_EXPECTED_STUDIO_ROOT_ID='{root_id}'" in final
+ ), "STUDIO_ROOT_ID placeholder must still be substituted in the launcher heredoc"
+
+
+def test_install_ps1_install_id_file_layout_matches_backend_read_path():
+ """install.ps1 must write the id at $StudioHome\\share\\studio_install_id
+ so the backend (studio/backend/main.py:_read_studio_install_id) can find
+ it via _STUDIO_ROOT_RESOLVED / "share" / "studio_install_id" without
+ mode-specific path knowledge. Persistence-across-runs is enforced by the
+ pre-write Test-Path check."""
+ src = INSTALL_PS1.read_text()
+ id_idx = src.index('$_studioIdDir = Join-Path $StudioHome "share"')
+ context = src[id_idx : id_idx + 1500]
+ assert (
+ '$_studioIdFile = Join-Path $_studioIdDir "studio_install_id"' in context
+ ), "install.ps1 must persist the id at $StudioHome\\share\\studio_install_id"
+ assert (
+ "Test-Path -LiteralPath $_studioIdFile" in context
+ ), "install.ps1 must skip id generation when the file already has content (re-run idempotence)"
+ assert (
+ "RandomNumberGenerator" in context and "GetBytes($_idBytes)" in context
+ ), "install.ps1 must seed new ids from a CSPRNG (RandomNumberGenerator)"
+ assert (
+ "Move-Item -LiteralPath $_idTmp" in context
+ ), "install.ps1 must atomic-rename the temp file into place to avoid half-written ids"
diff --git a/tests/test_studio_root_resilience.py b/tests/test_studio_root_resilience.py
new file mode 100644
index 0000000000..1ce0430dc4
--- /dev/null
+++ b/tests/test_studio_root_resilience.py
@@ -0,0 +1,154 @@
+"""Resilience checks for Studio install-root inference under hostile
+filesystem conditions:
+- _infer_studio_home_from_venv must NOT propagate PermissionError /
+ OSError out through studio_root() (it would crash module import in
+ run.py / main.py / transformers_version.py / model_config.py).
+- _kill_orphaned_servers must catch (ImportError, OSError, ValueError)
+ on the studio_root() probe so a transient resolve / sentinel failure
+ cannot crash server startup.
+- _find_llama_server_binary must keep the custom-root in search_roots
+ when the inner resolve() comparison itself fails."""
+
+from __future__ import annotations
+
+import importlib.util
+import re
+import sys
+import textwrap
+from pathlib import Path
+from unittest import mock
+
+import pytest
+
+
+REPO_ROOT = Path(__file__).resolve().parents[1]
+STORAGE_ROOTS = (
+ REPO_ROOT / "studio" / "backend" / "utils" / "paths" / "storage_roots.py"
+)
+LLAMA_CPP = REPO_ROOT / "studio" / "backend" / "core" / "inference" / "llama_cpp.py"
+
+
+def _load(name: str, path: Path):
+ spec = importlib.util.spec_from_file_location(name, path)
+ assert spec is not None and spec.loader is not None
+ mod = importlib.util.module_from_spec(spec)
+ sys.modules[name] = mod
+ spec.loader.exec_module(mod)
+ return mod
+
+
+def test_infer_studio_home_swallows_permission_error(tmp_path, monkeypatch):
+ candidate = tmp_path / "fake_root"
+ venv = candidate / "unsloth_studio"
+ venv.mkdir(parents = True)
+ monkeypatch.setattr(sys, "prefix", str(venv))
+ sys.modules.pop("sr_perm", None)
+ mod = _load("sr_perm", STORAGE_ROOTS)
+ with mock.patch.object(Path, "is_file", side_effect = PermissionError("denied")):
+ # Must NOT raise.
+ assert mod._infer_studio_home_from_venv() is None
+
+
+def test_studio_root_does_not_crash_on_permission_error(tmp_path, monkeypatch):
+ """studio_root() must remain callable even when the venv inference
+ encounters a restricted filesystem; it should fall through to the
+ legacy default."""
+ candidate = tmp_path / "fake_root"
+ venv = candidate / "unsloth_studio"
+ venv.mkdir(parents = True)
+ monkeypatch.setattr(sys, "prefix", str(venv))
+ monkeypatch.delenv("UNSLOTH_STUDIO_HOME", raising = False)
+ monkeypatch.delenv("STUDIO_HOME", raising = False)
+ sys.modules.pop("sr_studio_perm", None)
+ mod = _load("sr_studio_perm", STORAGE_ROOTS)
+ with mock.patch.object(Path, "is_file", side_effect = OSError("ebusy")):
+ result = mod.studio_root()
+ assert result == Path.home() / ".unsloth" / "studio"
+
+
+def test_kill_orphan_catches_oserror_from_studio_root():
+ """_kill_orphaned_servers must catch (ImportError, OSError, ValueError)
+ on the studio_root() probe specifically; the sister function
+ _find_llama_server_binary uses the same broader catch on its own probe."""
+ src = LLAMA_CPP.read_text()
+ fn_start = src.index("def _kill_orphaned_servers")
+ fn_body = src[fn_start : fn_start + 4000]
+ # The studio_root() probe in this fn is the one that imports as `_sr`
+ # and assigns `_resolved_sr = _sr()`. Find the except that closes it.
+ probe_idx = fn_body.index("storage_roots import studio_root as _sr")
+ # The matching except is the next `except ...:` after the inner
+ # OSError/ValueError block that wraps resolve().
+ after = fn_body[probe_idx:]
+ # Skip over the inner `except (OSError, ValueError):` that wraps resolve().
+ inner_idx = after.index("except (OSError, ValueError):")
+ after_inner = after[inner_idx + len("except (OSError, ValueError):") :]
+ outer_match = re.search(r"except\s*\(?[^)]*?\)?:", after_inner)
+ assert outer_match, "outer except for studio_root probe missing"
+ clause = outer_match.group(0)
+ assert (
+ "OSError" in clause and "ValueError" in clause
+ ), f"_kill_orphaned_servers studio_root probe catch too narrow: {clause!r}"
+
+
+def _exec_search_roots_block(
+ home: Path, studio_root_value: Path, resolve_raises: bool
+) -> list[Path]:
+ """Extract _find_llama_server_binary's env-mode search_roots block
+ and execute it with controlled inputs."""
+ src = LLAMA_CPP.read_text()
+ block_start = src.index('legacy_llama = Path.home() / ".unsloth" / "llama.cpp"')
+ block_end = src.index("_seen_roots: set[str]", block_start)
+ raw = src[block_start:block_end]
+ indent = " " * 8
+ block = textwrap.dedent(indent + raw)
+ fake_module = type(sys)("fake_storage_roots")
+ fake_module.studio_root = lambda: studio_root_value
+ sys.modules["utils.paths.storage_roots"] = fake_module
+ try:
+ original_resolve = Path.resolve
+
+ def _resolve(self, *a, **k):
+ if resolve_raises:
+ raise OSError("ebusy")
+ return original_resolve(self, *a, **k)
+
+ with (
+ mock.patch.object(Path, "home", classmethod(lambda cls: home)),
+ mock.patch.object(Path, "resolve", _resolve),
+ ):
+ ns: dict = {"Path": Path}
+ exec(block, ns) # noqa: S102
+ return ns["search_roots"]
+ finally:
+ sys.modules.pop("utils.paths.storage_roots", None)
+
+
+def test_search_roots_keeps_custom_when_resolve_fails(tmp_path):
+ home = tmp_path / "home"
+ home.mkdir()
+ custom = tmp_path / "custom_studio"
+ custom.mkdir()
+ roots = _exec_search_roots_block(
+ home = home, studio_root_value = custom, resolve_raises = True
+ )
+ # On resolve() failure, the inner except falls back to direct equality;
+ # custom != legacy_studio so the custom root must remain in search_roots.
+ assert (
+ custom / "llama.cpp" in roots
+ ), f"custom root dropped on resolve() failure: {roots}"
+ # custom-mode discovery excludes the legacy tree to match _kill_orphaned_servers.
+ assert (
+ (home / ".unsloth" / "llama.cpp") not in roots
+ ), f"legacy llama path must not appear in custom-mode search_roots: {roots}"
+
+
+def test_search_roots_default_mode_uses_legacy_only(tmp_path):
+ home = tmp_path / "home"
+ home.mkdir()
+ legacy = home / ".unsloth" / "studio"
+ legacy.mkdir(parents = True)
+ roots = _exec_search_roots_block(
+ home = home, studio_root_value = legacy, resolve_raises = False
+ )
+ # Default mode: only legacy_llama.
+ assert roots == [home / ".unsloth" / "llama.cpp"]
diff --git a/unsloth/__init__.py b/unsloth/__init__.py
index 9db9ae0a32..9b620a5c76 100644
--- a/unsloth/__init__.py
+++ b/unsloth/__init__.py
@@ -12,348 +12,117 @@
# See the License for the specific language governing permissions and
# limitations under the License.
-import warnings, importlib, sys
-from packaging.version import Version
-import os, re, subprocess, inspect, functools
-import numpy as np
+import os, platform, importlib.util
-# Log Unsloth is being used
os.environ["UNSLOTH_IS_PRESENT"] = "1"
-# Check if modules that need patching are already imported
-critical_modules = ["trl", "transformers", "peft"]
-already_imported = [mod for mod in critical_modules if mod in sys.modules]
-
-# Fix some issues before importing other packages
-from .import_fixes import (
- fix_message_factory_issue,
- check_fbgemm_gpu_version,
- disable_broken_causal_conv1d,
- disable_broken_vllm,
- configure_amdgpu_asic_id_table_path,
- torchvision_compatibility_check,
- fix_diffusers_warnings,
- fix_huggingface_hub,
+# Detect Apple Silicon + MLX before any torch/numpy imports
+_IS_MLX = (
+ platform.system() == "Darwin"
+ and platform.machine() == "arm64"
+ and importlib.util.find_spec("mlx") is not None
)
-# Configure libdrm ids table path early so ROCm can resolve AMD GPU names.
-configure_amdgpu_asic_id_table_path()
-disable_broken_causal_conv1d()
-disable_broken_vllm()
-fix_message_factory_issue()
-check_fbgemm_gpu_version()
-torchvision_compatibility_check()
-fix_diffusers_warnings()
-fix_huggingface_hub()
-del configure_amdgpu_asic_id_table_path
-del disable_broken_causal_conv1d
-del disable_broken_vllm
-del fix_message_factory_issue
-del check_fbgemm_gpu_version
-del torchvision_compatibility_check
-del fix_diffusers_warnings
-del fix_huggingface_hub
-
-# This check is critical because Unsloth optimizes these libraries by modifying
-# their code at import time. If they're imported first, the original (slower,
-# more memory-intensive) implementations will be used instead of Unsloth's
-# optimized versions, potentially causing OOM errors or slower training.
-if already_imported:
- # stacklevel=2 makes warning point to user's import line rather than this library code,
- # showing them exactly where to fix the import order in their script
- warnings.warn(
- f"WARNING: Unsloth should be imported before [{', '.join(already_imported)}] "
- f"to ensure all optimizations are applied. Your code may run slower or encounter "
- f"memory issues without these optimizations.\n\n"
- f"Please restructure your imports with 'import unsloth' at the top of your file.",
- stacklevel = 2,
- )
-del already_imported, critical_modules
-
-# Unsloth currently does not work on multi GPU setups - sadly we are a 2 brother team so
-# enabling it will require much more work, so we have to prioritize. Please understand!
-# We do have a beta version, which you can contact us about!
-# Thank you for your understanding and we appreciate it immensely!
-
-# Fixes https://github.com/unslothai/unsloth/issues/1266
-os.environ["PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION"] = "python"
-
-# [TODO] Check why some GPUs don't work
-# "pinned_use_cuda_host_register:True,"\
-# "pinned_num_register_threads:8"
-
-
-from importlib.metadata import version as importlib_version
-from importlib.metadata import PackageNotFoundError
-
-# Check for unsloth_zoo
-try:
- unsloth_zoo_version = importlib_version("unsloth_zoo")
- if Version(unsloth_zoo_version) < Version("2026.3.4"):
- print(
- "Unsloth: Please update Unsloth and Unsloth-Zoo to the latest version!\n"
- "Do this via `pip install --upgrade --force-reinstall --no-cache-dir --no-deps unsloth unsloth_zoo`"
- )
- # if os.environ.get("UNSLOTH_DISABLE_AUTO_UPDATES", "0") == "0":
- # try:
- # os.system("pip install --upgrade --no-cache-dir --no-deps unsloth_zoo")
- # except:
- # try:
- # os.system("pip install --upgrade --no-cache-dir --no-deps --user unsloth_zoo")
- # except:
- # raise ImportError("Unsloth: Please update unsloth_zoo via `pip install --upgrade --no-cache-dir --no-deps unsloth_zoo`")
- import unsloth_zoo
-except PackageNotFoundError:
- raise ImportError(
- f"Unsloth: Please install unsloth_zoo via `pip install unsloth_zoo` then retry!"
- )
-except:
- raise
-del PackageNotFoundError, importlib_version
-
-# Try importing PyTorch and check version
-try:
- import torch
-except ModuleNotFoundError:
- raise ImportError(
- "Unsloth: Pytorch is not installed. Go to https://pytorch.org/.\n"
- "We have some installation instructions on our Github page."
- )
-except:
- raise
-
-from unsloth_zoo.device_type import (
- is_hip,
- get_device_type,
- DEVICE_TYPE,
- DEVICE_TYPE_TORCH,
- DEVICE_COUNT,
- ALLOW_PREQUANTIZED_MODELS,
-)
-
-# Fix other issues
-from .import_fixes import (
- fix_xformers_performance_issue,
- fix_vllm_aimv2_issue,
- check_vllm_torch_sm100_compatibility,
- fix_vllm_guided_decoding_params,
- fix_trl_vllm_ascend,
- fix_vllm_pdl_blackwell,
- fix_triton_compiled_kernel_missing_attrs,
- patch_trunc_normal_precision_issue,
- ignore_logger_messages,
- patch_ipykernel_hf_xet,
- patch_trackio,
- patch_datasets,
- patch_enable_input_require_grads,
- fix_openenv_no_vllm,
- patch_openspiel_env_async,
- fix_executorch,
- patch_vllm_for_notebooks,
- patch_torchcodec_audio_decoder,
- disable_torchcodec_if_broken,
- disable_broken_wandb,
- patch_peft_weight_converter_compatibility,
-)
-
-fix_xformers_performance_issue()
-fix_vllm_aimv2_issue()
-# Check vLLM + torch < 2.9.0 + SM100 compatibility BEFORE importing vLLM
-check_vllm_torch_sm100_compatibility()
-fix_vllm_guided_decoding_params()
-fix_trl_vllm_ascend()
-fix_vllm_pdl_blackwell()
-fix_triton_compiled_kernel_missing_attrs()
-patch_trunc_normal_precision_issue()
-ignore_logger_messages()
-patch_ipykernel_hf_xet()
-patch_trackio()
-patch_datasets()
-patch_enable_input_require_grads()
-fix_openenv_no_vllm()
-patch_openspiel_env_async()
-fix_executorch()
-patch_vllm_for_notebooks()
-patch_torchcodec_audio_decoder()
-disable_torchcodec_if_broken()
-disable_broken_wandb()
-patch_peft_weight_converter_compatibility()
-
-del fix_xformers_performance_issue
-del fix_vllm_aimv2_issue
-del check_vllm_torch_sm100_compatibility
-del fix_vllm_guided_decoding_params
-del fix_trl_vllm_ascend
-del fix_vllm_pdl_blackwell
-del fix_triton_compiled_kernel_missing_attrs
-del patch_trunc_normal_precision_issue
-del ignore_logger_messages
-del patch_ipykernel_hf_xet
-del patch_trackio
-del patch_datasets
-del patch_enable_input_require_grads
-del fix_openenv_no_vllm
-del patch_openspiel_env_async
-del fix_executorch
-del patch_vllm_for_notebooks
-del patch_torchcodec_audio_decoder
-del disable_torchcodec_if_broken
-del disable_broken_wandb
-del patch_peft_weight_converter_compatibility
-
-# Torch 2.4 has including_emulation
-if DEVICE_TYPE == "cuda":
- major_version, minor_version = torch.cuda.get_device_capability()
- SUPPORTS_BFLOAT16 = major_version >= 8
-
- old_is_bf16_supported = torch.cuda.is_bf16_supported
- if "including_emulation" in str(inspect.signature(old_is_bf16_supported)):
-
- def is_bf16_supported(including_emulation = False):
- return old_is_bf16_supported(including_emulation)
-
- torch.cuda.is_bf16_supported = is_bf16_supported
- else:
-
- def is_bf16_supported():
- return SUPPORTS_BFLOAT16
-
- torch.cuda.is_bf16_supported = is_bf16_supported
- del major_version, minor_version
-elif DEVICE_TYPE == "hip":
- SUPPORTS_BFLOAT16 = torch.cuda.is_bf16_supported()
-elif DEVICE_TYPE == "xpu":
- # torch.xpu.is_bf16_supported() does not have including_emulation
- # set SUPPORTS_BFLOAT16 as torch.xpu.is_bf16_supported()
- SUPPORTS_BFLOAT16 = torch.xpu.is_bf16_supported()
-
-# For Gradio HF Spaces?
-# if "SPACE_AUTHOR_NAME" not in os.environ and "SPACE_REPO_NAME" not in os.environ:
-import triton
-
-if DEVICE_TYPE == "cuda":
- libcuda_dirs = lambda: None
- if Version(triton.__version__) >= Version("3.0.0"):
- try:
- from triton.backends.nvidia.driver import libcuda_dirs
- except:
- pass
- else:
- from triton.common.build import libcuda_dirs
-
- # Try loading bitsandbytes and triton
+if _IS_MLX:
try:
- import bitsandbytes as bnb
- except:
- print(
- "Unsloth: `bitsandbytes` is not installed - 4bit QLoRA unallowed, but 16bit and full finetuning works!"
- )
- bnb = None
+ import unsloth_zoo
+ except ImportError as _e:
+ raise ImportError(
+ "Unsloth: MLX support requires `unsloth-zoo` with MLX modules. "
+ "Reinstall with `pip install unsloth-zoo` or rerun install.sh."
+ ) from _e
+ # The mlx_trainer / mlx_loader submodules ship with unsloth-zoo's MLX
+ # support. An older installed unsloth-zoo (e.g. from PyPI before the
+ # MLX release lands) will satisfy `import unsloth_zoo` but be missing
+ # these submodules. Surface the same friendly install hint instead of
+ # a raw ImportError on the submodule path.
try:
- cdequantize_blockwise_fp32 = bnb.functional.lib.cdequantize_blockwise_fp32
- libcuda_dirs()
- except:
- # Only run the ldconfig recovery when we can actually run
- # ldconfig (root). On non-root environments (shared HPC,
- # locked-down containers, CI runners, etc.) the recovery would
- # shell out to `ldconfig` and fail with "Permission denied",
- # which is especially noisy for users who don't even have
- # bitsandbytes installed and are just doing 16bit/full
- # finetuning. libcuda_dirs() is used by both triton and bnb,
- # so we still run the recovery whenever we're root, regardless
- # of whether bnb is installed.
- if hasattr(os, "geteuid") and os.geteuid() == 0:
- warnings.warn("Unsloth: Running `ldconfig /usr/lib64-nvidia` to link CUDA.")
+ from unsloth_zoo.mlx_trainer import MLXTrainer, MLXTrainingConfig
+ from unsloth_zoo.mlx_loader import FastMLXModel
+ except ImportError as _e:
+ raise ImportError(
+ "Unsloth: MLX support requires an unsloth-zoo build that includes "
+ "`unsloth_zoo.mlx_trainer` and `unsloth_zoo.mlx_loader`. Upgrade with "
+ "`pip install -U unsloth-zoo` or rerun install.sh."
+ ) from _e
- if os.path.exists("/usr/lib64-nvidia"):
- os.system("ldconfig /usr/lib64-nvidia")
- elif os.path.exists("/usr/local"):
- # Sometimes bitsandbytes cannot be linked properly in Runpod for example
- possible_cudas = (
- subprocess.check_output(["ls", "-al", "/usr/local"])
- .decode("utf-8")
- .split("\n")
- )
- find_cuda = re.compile(r"[\s](cuda\-[\d\.]{2,})$")
- possible_cudas = [find_cuda.search(x) for x in possible_cudas]
- possible_cudas = [x.group(1) for x in possible_cudas if x is not None]
+ # Load raw_text helpers without executing dataprep/__init__.py, which
+ # imports synthetic.py -> torch and would defeat the torch-free MLX path.
+ from pathlib import Path as _Path
- # Try linking cuda folder, or everything in local
- if len(possible_cudas) == 0:
- os.system("ldconfig /usr/local/")
- else:
- find_number = re.compile(r"([\d\.]{2,})")
- latest_cuda = np.argsort(
- [float(find_number.search(x).group(1)) for x in possible_cudas]
- )[::-1][0]
- latest_cuda = possible_cudas[latest_cuda]
- os.system(f"ldconfig /usr/local/{latest_cuda}")
- del find_number, latest_cuda
- del possible_cudas, find_cuda
+ _raw_text_path = _Path(__file__).resolve().parent / "dataprep" / "raw_text.py"
+ _raw_text_spec = importlib.util.spec_from_file_location(
+ "unsloth._mlx_raw_text", _raw_text_path
+ )
+ if _raw_text_spec is None or _raw_text_spec.loader is None:
+ raise ImportError("Unsloth: could not load MLX raw_text dataprep helpers.")
+ _raw_text = importlib.util.module_from_spec(_raw_text_spec)
+ _raw_text_spec.loader.exec_module(_raw_text)
+ RawTextDataLoader = _raw_text.RawTextDataLoader
+ TextPreprocessor = _raw_text.TextPreprocessor
+ del _raw_text, _raw_text_spec, _raw_text_path, _Path
- if bnb is not None:
- importlib.reload(bnb)
- importlib.reload(triton)
- try:
- libcuda_dirs = lambda: None
- if Version(triton.__version__) >= Version("3.0.0"):
- try:
- from triton.backends.nvidia.driver import libcuda_dirs
- except:
- pass
- else:
- from triton.common.build import libcuda_dirs
- cdequantize_blockwise_fp32 = (
- bnb.functional.lib.cdequantize_blockwise_fp32
- )
- libcuda_dirs()
- except:
- warnings.warn(
- "Unsloth: CUDA is not linked properly.\n"
- "Try running `python -m bitsandbytes` then `python -m xformers.info`\n"
- "We tried running `ldconfig /usr/lib64-nvidia` ourselves, but it didn't work.\n"
- "You need to run in your terminal `sudo ldconfig /usr/lib64-nvidia` yourself, then import Unsloth.\n"
- "Also try `sudo ldconfig /usr/local/cuda-xx.x` - find the latest cuda version.\n"
- "Unsloth will still run for now, but maybe it might crash - let's hope it works!"
- )
- elif bnb is not None:
- # Non-root + bnb installed: we can't run ldconfig ourselves,
- # but bnb is going to crash later when the user actually uses
- # 4bit quantization - tell them how to fix it manually so
- # they're not surprised by an opaque error down the road.
- warnings.warn(
- "Unsloth: CUDA is not linked properly.\n"
- "You need to run in your terminal `sudo ldconfig /usr/lib64-nvidia` yourself, then import Unsloth.\n"
- "Also try `sudo ldconfig /usr/local/cuda-xx.x` - find the latest cuda version.\n"
- "Unsloth will still run for now, but maybe it might crash - let's hope it works!"
+ __version__ = unsloth_zoo.__version__
+ DEVICE_TYPE = "mlx"
+
+ class FastLanguageModel:
+ @staticmethod
+ def from_pretrained(*args, **kwargs):
+ return FastMLXModel.from_pretrained(*args, **kwargs)
+
+ @staticmethod
+ def get_peft_model(*args, **kwargs):
+ return FastMLXModel.get_peft_model(*args, **kwargs)
+
+ @staticmethod
+ def for_inference(*args, **kwargs):
+ return args[0] if args else None
+
+ class FastVisionModel(FastLanguageModel):
+ @staticmethod
+ def from_pretrained(*args, **kwargs):
+ kwargs.setdefault("text_only", False)
+ return FastMLXModel.from_pretrained(*args, **kwargs)
+
+ @staticmethod
+ def for_training(*args, **kwargs):
+ return args[0] if args else None
+
+ FastTextModel = FastLanguageModel
+ FastModel = FastLanguageModel
+
+ class FastSentenceTransformer:
+ @staticmethod
+ def from_pretrained(*args, **kwargs):
+ raise NotImplementedError(
+ "Unsloth: FastSentenceTransformer is not yet supported on MLX."
)
- del libcuda_dirs
-elif DEVICE_TYPE == "hip":
- # NO-OP for rocm device
- pass
-elif DEVICE_TYPE == "xpu":
- import bitsandbytes as bnb
- # TODO: check triton for intel installed properly.
- pass
+ @staticmethod
+ def get_peft_model(*args, **kwargs):
+ raise NotImplementedError(
+ "Unsloth: FastSentenceTransformer is not yet supported on MLX."
+ )
-from .models import *
-from .models import __version__
-from .save import *
-from .chat_templates import *
-from .tokenizer_utils import *
-from .trainer import *
+ def is_bfloat16_supported():
+ try:
+ import mlx.core as mx
-# Export dataprep utilities for CLI and downstream users
-from .dataprep.raw_text import RawTextDataLoader, TextPreprocessor
-from unsloth_zoo.rl_environments import (
- check_python_modules,
- create_locked_down_function,
- execute_with_time_limit,
- Benchmarker,
- is_port_open,
- launch_openenv,
-)
+ name = mx.device_info().get("device_name", "") or ""
+ return not name.startswith(("Apple M1", "Apple M2"))
+ except Exception:
+ return True
-# Patch TRL trainers for backwards compatibility
-_patch_trl_trainer()
+ is_bf16_supported = is_bfloat16_supported
+
+ class UnslothVisionDataCollator:
+ def __init__(self, *args, **kwargs):
+ raise NotImplementedError(
+ "Unsloth: UnslothVisionDataCollator is not used on MLX. "
+ "Use the MLX trainer/data path instead."
+ )
+
+else:
+ # GPU path: load everything from _gpu_init
+ from ._gpu_init import *
+ from ._gpu_init import __version__
diff --git a/unsloth/_gpu_init.py b/unsloth/_gpu_init.py
new file mode 100644
index 0000000000..2fc4bfde3c
--- /dev/null
+++ b/unsloth/_gpu_init.py
@@ -0,0 +1,346 @@
+# Copyright 2023-present Daniel Han-Chen & the Unsloth team. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import warnings, importlib, sys
+from packaging.version import Version
+import os, re, subprocess, inspect, functools
+import numpy as np
+
+# Log Unsloth is being used
+os.environ["UNSLOTH_IS_PRESENT"] = "1"
+
+# Check if modules that need patching are already imported
+critical_modules = ["trl", "transformers", "peft"]
+already_imported = [mod for mod in critical_modules if mod in sys.modules]
+
+# Fix some issues before importing other packages
+from .import_fixes import (
+ fix_message_factory_issue,
+ check_fbgemm_gpu_version,
+ disable_broken_causal_conv1d,
+ disable_broken_vllm,
+ configure_amdgpu_asic_id_table_path,
+ torchvision_compatibility_check,
+ fix_diffusers_warnings,
+ fix_huggingface_hub,
+)
+
+# Configure libdrm ids table path early so ROCm can resolve AMD GPU names.
+configure_amdgpu_asic_id_table_path()
+disable_broken_causal_conv1d()
+disable_broken_vllm()
+fix_message_factory_issue()
+check_fbgemm_gpu_version()
+torchvision_compatibility_check()
+fix_diffusers_warnings()
+fix_huggingface_hub()
+del configure_amdgpu_asic_id_table_path
+del disable_broken_causal_conv1d
+del disable_broken_vllm
+del fix_message_factory_issue
+del check_fbgemm_gpu_version
+del torchvision_compatibility_check
+del fix_diffusers_warnings
+del fix_huggingface_hub
+
+# This check is critical because Unsloth optimizes these libraries by modifying
+# their code at import time. If they're imported first, the original (slower,
+# more memory-intensive) implementations will be used instead of Unsloth's
+# optimized versions, potentially causing OOM errors or slower training.
+if already_imported:
+ # stacklevel=2 makes warning point to user's import line rather than this library code,
+ # showing them exactly where to fix the import order in their script
+ warnings.warn(
+ f"WARNING: Unsloth should be imported before [{', '.join(already_imported)}] "
+ f"to ensure all optimizations are applied. Your code may run slower or encounter "
+ f"memory issues without these optimizations.\n\n"
+ f"Please restructure your imports with 'import unsloth' at the top of your file.",
+ stacklevel = 2,
+ )
+del already_imported, critical_modules
+
+# Unsloth currently does not work on multi GPU setups - sadly we are a 2 brother team so
+# enabling it will require much more work, so we have to prioritize. Please understand!
+# We do have a beta version, which you can contact us about!
+# Thank you for your understanding and we appreciate it immensely!
+
+# Fixes https://github.com/unslothai/unsloth/issues/1266
+os.environ["PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION"] = "python"
+
+# [TODO] Check why some GPUs don't work
+# "pinned_use_cuda_host_register:True,"\
+# "pinned_num_register_threads:8"
+
+
+from importlib.metadata import version as importlib_version
+from importlib.metadata import PackageNotFoundError
+
+# Check for unsloth_zoo
+try:
+ unsloth_zoo_version = importlib_version("unsloth_zoo")
+ if Version(unsloth_zoo_version) < Version("2026.3.4"):
+ print(
+ "Unsloth: Please update Unsloth and Unsloth-Zoo to the latest version!\n"
+ "Do this via `pip install --upgrade --force-reinstall --no-cache-dir --no-deps unsloth unsloth_zoo`"
+ )
+ # if os.environ.get("UNSLOTH_DISABLE_AUTO_UPDATES", "0") == "0":
+ # try:
+ # os.system("pip install --upgrade --no-cache-dir --no-deps unsloth_zoo")
+ # except:
+ # try:
+ # os.system("pip install --upgrade --no-cache-dir --no-deps --user unsloth_zoo")
+ # except:
+ # raise ImportError("Unsloth: Please update unsloth_zoo via `pip install --upgrade --no-cache-dir --no-deps unsloth_zoo`")
+ import unsloth_zoo
+except PackageNotFoundError:
+ raise ImportError(
+ f"Unsloth: Please install unsloth_zoo via `pip install unsloth_zoo` then retry!"
+ )
+except:
+ raise
+del PackageNotFoundError, importlib_version
+
+# Try importing PyTorch and check version
+try:
+ import torch
+except ModuleNotFoundError:
+ raise ImportError(
+ "Unsloth: Pytorch is not installed. Go to https://pytorch.org/.\n"
+ "We have some installation instructions on our Github page."
+ )
+except:
+ raise
+
+from unsloth_zoo.device_type import (
+ is_hip,
+ get_device_type,
+ DEVICE_TYPE,
+ DEVICE_TYPE_TORCH,
+ DEVICE_COUNT,
+ ALLOW_PREQUANTIZED_MODELS,
+)
+
+# Fix other issues
+from .import_fixes import (
+ fix_xformers_performance_issue,
+ fix_vllm_aimv2_issue,
+ check_vllm_torch_sm100_compatibility,
+ fix_vllm_guided_decoding_params,
+ fix_vllm_pdl_blackwell,
+ fix_triton_compiled_kernel_missing_attrs,
+ patch_trunc_normal_precision_issue,
+ ignore_logger_messages,
+ patch_ipykernel_hf_xet,
+ patch_trackio,
+ patch_datasets,
+ patch_enable_input_require_grads,
+ fix_openenv_no_vllm,
+ patch_openspiel_env_async,
+ fix_executorch,
+ patch_vllm_for_notebooks,
+ patch_torchcodec_audio_decoder,
+ disable_torchcodec_if_broken,
+ disable_broken_wandb,
+ fix_trl_vllm_ascend,
+ patch_peft_weight_converter_compatibility,
+)
+
+fix_xformers_performance_issue()
+fix_vllm_aimv2_issue()
+# Check vLLM + torch < 2.9.0 + SM100 compatibility BEFORE importing vLLM
+check_vllm_torch_sm100_compatibility()
+fix_vllm_guided_decoding_params()
+fix_trl_vllm_ascend()
+fix_vllm_pdl_blackwell()
+fix_triton_compiled_kernel_missing_attrs()
+patch_trunc_normal_precision_issue()
+ignore_logger_messages()
+patch_ipykernel_hf_xet()
+patch_trackio()
+patch_datasets()
+patch_enable_input_require_grads()
+fix_openenv_no_vllm()
+patch_openspiel_env_async()
+fix_executorch()
+patch_vllm_for_notebooks()
+patch_torchcodec_audio_decoder()
+disable_torchcodec_if_broken()
+disable_broken_wandb()
+patch_peft_weight_converter_compatibility()
+
+del fix_xformers_performance_issue
+del fix_vllm_aimv2_issue
+del check_vllm_torch_sm100_compatibility
+del fix_vllm_guided_decoding_params
+del fix_trl_vllm_ascend
+del fix_vllm_pdl_blackwell
+del fix_triton_compiled_kernel_missing_attrs
+del patch_trunc_normal_precision_issue
+del ignore_logger_messages
+del patch_ipykernel_hf_xet
+del patch_trackio
+del patch_datasets
+del patch_enable_input_require_grads
+del fix_openenv_no_vllm
+del patch_openspiel_env_async
+del fix_executorch
+del patch_vllm_for_notebooks
+del patch_torchcodec_audio_decoder
+del disable_torchcodec_if_broken
+del disable_broken_wandb
+del patch_peft_weight_converter_compatibility
+
+# Torch 2.4 has including_emulation
+if DEVICE_TYPE == "cuda":
+ major_version, minor_version = torch.cuda.get_device_capability()
+ SUPPORTS_BFLOAT16 = major_version >= 8
+
+ old_is_bf16_supported = torch.cuda.is_bf16_supported
+ if "including_emulation" in str(inspect.signature(old_is_bf16_supported)):
+
+ def is_bf16_supported(including_emulation = False):
+ return old_is_bf16_supported(including_emulation)
+
+ torch.cuda.is_bf16_supported = is_bf16_supported
+ else:
+
+ def is_bf16_supported():
+ return SUPPORTS_BFLOAT16
+
+ torch.cuda.is_bf16_supported = is_bf16_supported
+ del major_version, minor_version
+elif DEVICE_TYPE == "hip":
+ SUPPORTS_BFLOAT16 = torch.cuda.is_bf16_supported()
+elif DEVICE_TYPE == "xpu":
+ # torch.xpu.is_bf16_supported() does not have including_emulation
+ # set SUPPORTS_BFLOAT16 as torch.xpu.is_bf16_supported()
+ SUPPORTS_BFLOAT16 = torch.xpu.is_bf16_supported()
+
+# For Gradio HF Spaces?
+# if "SPACE_AUTHOR_NAME" not in os.environ and "SPACE_REPO_NAME" not in os.environ:
+import triton
+
+if DEVICE_TYPE == "cuda":
+ libcuda_dirs = lambda: None
+ if Version(triton.__version__) >= Version("3.0.0"):
+ try:
+ from triton.backends.nvidia.driver import libcuda_dirs
+ except:
+ pass
+ else:
+ from triton.common.build import libcuda_dirs
+
+ # Try loading bitsandbytes and triton
+ try:
+ import bitsandbytes as bnb
+ except:
+ print(
+ "Unsloth: `bitsandbytes` is not installed - 4bit QLoRA unallowed, but 16bit and full finetuning works!"
+ )
+ bnb = None
+ try:
+ cdequantize_blockwise_fp32 = bnb.functional.lib.cdequantize_blockwise_fp32
+ libcuda_dirs()
+ except:
+ if hasattr(os, "geteuid") and os.geteuid() == 0:
+ warnings.warn("Unsloth: Running `ldconfig /usr/lib64-nvidia` to link CUDA.")
+
+ if os.path.exists("/usr/lib64-nvidia"):
+ os.system("ldconfig /usr/lib64-nvidia")
+ elif os.path.exists("/usr/local"):
+ # Sometimes bitsandbytes cannot be linked properly in Runpod for example
+ possible_cudas = (
+ subprocess.check_output(["ls", "-al", "/usr/local"])
+ .decode("utf-8")
+ .split("\n")
+ )
+ find_cuda = re.compile(r"[\s](cuda\-[\d\.]{2,})$")
+ possible_cudas = [find_cuda.search(x) for x in possible_cudas]
+ possible_cudas = [x.group(1) for x in possible_cudas if x is not None]
+
+ # Try linking cuda folder, or everything in local
+ if len(possible_cudas) == 0:
+ os.system("ldconfig /usr/local/")
+ else:
+ find_number = re.compile(r"([\d\.]{2,})")
+ latest_cuda = np.argsort(
+ [float(find_number.search(x).group(1)) for x in possible_cudas]
+ )[::-1][0]
+ latest_cuda = possible_cudas[latest_cuda]
+ os.system(f"ldconfig /usr/local/{latest_cuda}")
+ del find_number, latest_cuda
+ del possible_cudas, find_cuda
+
+ if bnb is not None:
+ importlib.reload(bnb)
+ importlib.reload(triton)
+ try:
+ libcuda_dirs = lambda: None
+ if Version(triton.__version__) >= Version("3.0.0"):
+ try:
+ from triton.backends.nvidia.driver import libcuda_dirs
+ except:
+ pass
+ else:
+ from triton.common.build import libcuda_dirs
+ cdequantize_blockwise_fp32 = (
+ bnb.functional.lib.cdequantize_blockwise_fp32
+ )
+ libcuda_dirs()
+ except:
+ warnings.warn(
+ "Unsloth: CUDA is not linked properly.\n"
+ "Try running `python -m bitsandbytes` then `python -m xformers.info`\n"
+ "We tried running `ldconfig /usr/lib64-nvidia` ourselves, but it didn't work.\n"
+ "You need to run in your terminal `sudo ldconfig /usr/lib64-nvidia` yourself, then import Unsloth.\n"
+ "Also try `sudo ldconfig /usr/local/cuda-xx.x` - find the latest cuda version.\n"
+ "Unsloth will still run for now, but maybe it might crash - let's hope it works!"
+ )
+ elif bnb is not None:
+ warnings.warn(
+ "Unsloth: CUDA is not linked properly.\n"
+ "You need to run in your terminal `sudo ldconfig /usr/lib64-nvidia` yourself, then import Unsloth.\n"
+ "Also try `sudo ldconfig /usr/local/cuda-xx.x` - find the latest cuda version.\n"
+ "Unsloth will still run for now, but maybe it might crash - let's hope it works!"
+ )
+ del libcuda_dirs
+elif DEVICE_TYPE == "hip":
+ # NO-OP for rocm device
+ pass
+elif DEVICE_TYPE == "xpu":
+ import bitsandbytes as bnb
+
+ # TODO: check triton for intel installed properly.
+ pass
+
+from .models import *
+from .models import __version__
+from .save import *
+from .chat_templates import *
+from .tokenizer_utils import *
+from .trainer import *
+
+# Export dataprep utilities for CLI and downstream users
+from .dataprep.raw_text import RawTextDataLoader, TextPreprocessor
+from unsloth_zoo.rl_environments import (
+ check_python_modules,
+ create_locked_down_function,
+ execute_with_time_limit,
+ Benchmarker,
+ is_port_open,
+ launch_openenv,
+)
+
+# Patch TRL trainers for backwards compatibility
+_patch_trl_trainer()
diff --git a/unsloth/models/_utils.py b/unsloth/models/_utils.py
index 1120e1941d..34fec53504 100644
--- a/unsloth/models/_utils.py
+++ b/unsloth/models/_utils.py
@@ -12,7 +12,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
-__version__ = "2026.5.1"
+__version__ = "2026.5.2"
__all__ = [
"SUPPORTS_BFLOAT16",
diff --git a/unsloth/trainer.py b/unsloth/trainer.py
index eea985e958..01b8822bd5 100644
--- a/unsloth/trainer.py
+++ b/unsloth/trainer.py
@@ -23,7 +23,9 @@ from functools import wraps
import trl
import inspect
from trl import SFTTrainer
-from . import is_bfloat16_supported
+
+# why: bypass partially-initialised unsloth ns during _gpu_init load
+from .models._utils import is_bfloat16_supported
from unsloth.utils import (
configure_padding_free,
configure_sample_packing,
diff --git a/unsloth_cli/commands/studio.py b/unsloth_cli/commands/studio.py
index 140940209f..76aac3dc15 100644
--- a/unsloth_cli/commands/studio.py
+++ b/unsloth_cli/commands/studio.py
@@ -20,7 +20,73 @@ import typer
studio_app = typer.Typer(help = "Unsloth Studio commands.")
-STUDIO_HOME = Path.home() / ".unsloth" / "studio"
+
+# Resolve install root: UNSLOTH_STUDIO_HOME, then STUDIO_HOME alias, then
+# sys.prefix inference (so a direct call to /bin/unsloth resolves after
+# the installer's env var has expired), then legacy ~/.unsloth/studio.
+# UNSLOTH_STUDIO_HOME wins when both env vars are set.
+def _looks_like_installer_managed_studio_home(candidate: Path) -> bool:
+ """Sentinel check (studio.conf or bin shim) so a dev venv named
+ unsloth_studio is not misidentified as a custom Studio root.
+ """
+ shim_name = "unsloth.exe" if platform.system() == "Windows" else "unsloth"
+ return (candidate / "share" / "studio.conf").is_file() or (
+ candidate / "bin" / shim_name
+ ).is_file()
+
+
+def _resolve_studio_home() -> tuple[Path, bool]:
+ override = (os.environ.get("UNSLOTH_STUDIO_HOME") or "").strip()
+ if not override:
+ override = (os.environ.get("STUDIO_HOME") or "").strip()
+ if override:
+ try:
+ return Path(override).expanduser().resolve(), True
+ except (OSError, ValueError):
+ return Path(override).expanduser(), True
+ try:
+ prefix = Path(sys.prefix).resolve()
+ if prefix.name == "unsloth_studio":
+ inferred = prefix.parent
+ legacy = (Path.home() / ".unsloth" / "studio").resolve()
+ if inferred != legacy and _looks_like_installer_managed_studio_home(
+ inferred
+ ):
+ return inferred, True
+ except (OSError, ValueError):
+ pass
+ return Path.home() / ".unsloth" / "studio", False
+
+
+STUDIO_HOME, _STUDIO_HOME_IS_CUSTOM = _resolve_studio_home()
+
+
+def _ensure_studio_env_exported() -> None:
+ """Re-export UNSLOTH_STUDIO_HOME / UNSLOTH_LLAMA_CPP_PATH only for real
+ custom roots so subprocesses inherit the right install. Called from each
+ studio subcommand entry rather than at import time, to avoid leaking env
+ state into unrelated importers (tests, --help, CLI introspection).
+ """
+ if not _STUDIO_HOME_IS_CUSTOM:
+ return
+ # Truthy-check (not setdefault) so a blank UNSLOTH_STUDIO_HOME= does not
+ # suppress the inferred custom root.
+ if not os.environ.get("UNSLOTH_STUDIO_HOME"):
+ os.environ["UNSLOTH_STUDIO_HOME"] = str(STUDIO_HOME)
+ # When override == legacy default, llama.cpp stays at ~/.unsloth/llama.cpp.
+ try:
+ _legacy_studio = (Path.home() / ".unsloth" / "studio").resolve()
+ _is_legacy = STUDIO_HOME.resolve() == _legacy_studio
+ except (OSError, ValueError):
+ _is_legacy = STUDIO_HOME == (Path.home() / ".unsloth" / "studio")
+ if _is_legacy:
+ _llama_dir = Path.home() / ".unsloth" / "llama.cpp"
+ else:
+ _llama_dir = STUDIO_HOME / "llama.cpp"
+ if not os.environ.get("UNSLOTH_LLAMA_CPP_PATH"):
+ os.environ["UNSLOTH_LLAMA_CPP_PATH"] = str(_llama_dir)
+
+
BOOTSTRAP_PASSWORD_FILE = ".bootstrap_password"
DESKTOP_SECRET_FILE = ".desktop_secret"
DEFAULT_ADMIN_USERNAME = "unsloth"
@@ -427,6 +493,8 @@ def studio_default(
),
):
"""Launch the Unsloth Studio server."""
+ # Runs before any subcommand; covers run/setup/update/etc in one place.
+ _ensure_studio_env_exported()
if ctx.invoked_subcommand is not None:
return