unsloth/studio/setup.ps1
Daniel Han 0acd1c7eec
studio: improve onboarding UX, tooltips, and training defaults (#4355)
* studio: improve onboarding UX, tooltips, and training defaults

- Change splash text to "Train and run LLMs locally"
- Add "Chat Only" card with BubbleChatIcon to skip directly to chat
- Add Skip/Skip to Chat buttons in sidebar and footer
- Back button on step 1 returns to splash screen instead of being disabled
- Change "Watch video guide" to "Get started with our guide" with new URL
- Update intro text to mention all model types + chat
- Make all tooltips clickable (in addition to hover) via React context
- Strip surrounding quotes from pasted HF tokens
- Rename "Eval Split" to "Evaluation Split"
- Add SparklesIcon to "Auto Detect" format option
- Change step 4 heading to "Choose your training parameters"
- Default max_steps to 60
- Learning rate displayed in scientific notation with +/- stepper
- Context length options capped by model's max_position_embeddings (via AutoConfig)
- Fix "QLORA"/"LORA" to "QLoRA"/"LoRA" in summary step
- Backend: add max_position_embeddings to model config endpoint

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* compare for 2 diff models

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* resolving gemini comments

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* studio: disable thinking for Qwen3.5 <9B and always for AI Assist

- Change Qwen3.5 thinking threshold from <=2B to <9B (0.8B, 2B, 4B
  all disable thinking by default; 9B+ enables it)
- Always pass enable_thinking=False in AI Assist helper calls
  (_run_with_helper and _generate_with_backend) regardless of chat
  thinking settings

* studio: address PR review comments

- Extract _get_max_position_embeddings helper to DRY config extraction
- Fix "Skip to Chat" to navigate to /chat on step 1 (was /studio)

* fix: comment out debug print statements

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* studio: skip Shiki highlighting for incomplete SVG code fences

While streaming SVG content, the syntax highlighter (Shiki) re-parses
the entire growing SVG on every token, blocking the main thread and
freezing the code area until the fence closes. Show a plain-text
preview for incomplete SVG fences instead, similar to how Mermaid
diagrams show a placeholder while streaming.

* studio: fix default top_k from 50/40 to 20 for chat inference

Per Qwen3.5 docs (unsloth.ai/docs/models/qwen3.5), top_k should be 20
for both thinking and non-thinking modes. The model-specific config in
inference_defaults.json already had top_k=20 for Qwen3.5, but the
generic fallback defaults were wrong:
- Frontend DEFAULT_INFERENCE_PARAMS.topK: 50 -> 20
- Backend generate_chat_completion top_k: 40 -> 20
- Backend generate_chat_completion_with_tools top_k: 40 -> 20
- Frontend title generation top_k: 40 -> 20

* studio: set universal inference defaults for unknown models

Default params for any model without specific config:
  temperature=0.6, top_p=0.95, top_k=20, min_p=0.01,
  presence_penalty=0.0, repetition_penalty=1.0

Models with entries in inference_defaults.json (Qwen3.5, Gemma-3,
Llama, etc.) override these with their recommended values.

Updated in: frontend DEFAULT_INFERENCE_PARAMS, backend Pydantic
request models, and backend generate_chat_completion defaults.

* studio: only trust_remote_code for unsloth/ models in AutoConfig

Only set trust_remote_code=True when the model name starts with
"unsloth/". All other models default to False for safety.

* studio: move Generating spinner above the composer

The "Generating" spinner was below the send message bar, causing
the bar to jump up and down. Move it above the composer in both
the regular thread view and the welcome/empty view.

* studio: adjust toast close button position away from edge

Move the X close button on toasts (like "Starting model...") from
top-1.5 to top-3 and add right-3, giving more breathing room from
the top-right corner.

* studio: make Think button smaller with tighter icon-text gap

Reduce gap from 1.5 to 0.5, padding from px-2.5/py-1 to px-2/py-0.5,
and icon from size-3.5 to size-3.

* studio: multiple onboarding and chat UX improvements

- Move Generating spinner above composer (fixes jumping send bar)
- Make Think button smaller with tighter icon-text gap
- Chat card now inside grid (same size as Audio/Embeddings cards)
- Rename "Chat Only" to "Chat"
- Chat card requires Continue to proceed (no auto-advance)
- Continue on Chat selection skips onboarding and goes to /chat
- Tooltip (i) click on Chat card doesn't trigger navigation
- Step 1 footer Back button goes back to splash (label is "Back")
- Splash "Skip Onboarding" renamed to "Skip to Chat", navigates to /chat
- Toast close button moved away from edge

* studio: align Skip to Chat button, add Skip to footer

- Sidebar "Skip to Chat" now uses primary (green) Button style with
  arrow icon, full width, aligned like step items. Shows on all steps.
- Footer: added "Skip" outline button next to Continue that goes
  directly to /studio with progress saved (markOnboardingDone)

* studio: change default max steps from 30 to 60 in toggle hook

The DEFAULT_MAX_STEPS in use-max-steps-epochs-toggle.ts was still 30,
used as fallback when toggling from epochs back to max steps.

* studio: extend context length options to 262K

CONTEXT_LENGTHS now includes 65536, 131072, 262144 in addition to
the existing 512-32768 range. The onboarding step filters these by
the model's max_position_embeddings (e.g. Nemotron-3-Nano-4B has
262144), showing powers of 2 up to the model's maximum.

* studio: auto-select LoRA vs QLoRA based on model size and GPU memory

After selecting a model in onboarding, detect the total model weight
file size from HF Hub (safetensors/bin files). Then estimate memory
needed: model_size_gb * 1.5 * context_scale, where context_scale is:
  - <=8192 tokens: 1.0x
  - >8192 tokens: 1.7x
  - >=16384 tokens: 2.0x
  - >=32768 tokens: 4.0x

If the estimate fits in free GPU VRAM, default to LoRA (16-bit).
Otherwise default to QLoRA (4-bit).

Backend changes:
- Add model_size_bytes to ModelDetails (models.py)
- Add _get_model_size_bytes() using HfApi.repo_info (routes/models.py)
- Add vram_free_gb to get_gpu_summary (hardware.py)

Frontend changes:
- Add autoSelectTrainingMethod() in training-config-store.ts
- Called after model defaults are loaded
- Add model_size_bytes to ModelConfigResponse type
- Add vramFreeGb to HardwareInfo hook

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* studio: rename "Importing ML libraries..." to "Importing Unsloth..."

* studio: show model/dataset in training status, fix LoRA/QLoRA casing

- Training status now shows 'Training "model_name"' and 'Dataset = ...'
  instead of generic "Starting training..."
- Fix Studio progress section to show QLoRA/LoRA instead of QLORA/LORA

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* studio: rename 'Skip to Chat' to 'Skip Onboarding' on splash screen

* studio: add presence_penalty support for chat inference

Add presence_penalty as a parameter across the full stack:
- Backend: llama_cpp.py generate_chat_completion/with_tools, Pydantic
  models (inference.py), routes/inference.py pass-through
- Frontend: InferenceParams type, DEFAULT_INFERENCE_PARAMS (0.0),
  chat-adapter.ts payload, chat-settings-sheet.tsx slider (0-2),
  model defaults loading from inference_defaults.json
- Set Qwen3.5 default presence_penalty to 1.5 per official docs
- Default for unknown models is 0.0 (off)

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* studio: fix Chat card deselecting Text and aligning with other cards

* studio: fix presence_penalty not loading from inference defaults

The inference_config.py load_inference_config() was not including
presence_penalty in the returned config dict, so the Qwen3.5
default of 1.5 from inference_defaults.json never reached the
frontend. Added it to the config builder.

* studio: add delete button for cached models in model selector

Add trash icon on each downloaded model row (GGUF and safetensors) with
confirmation dialog. Backend DELETE /api/models/delete-cached endpoint
uses huggingface_hub scan_cache_dir + delete_revisions to cleanly remove
cached repos, refusing if the model is currently loaded.

* studio: restore inference defaults, reasoning, and tools on page refresh

On page refresh with a model already loaded, the frontend was not
re-applying model-specific inference defaults (presence_penalty,
temperature, etc.) or restoring reasoning/tools support flags.

Backend: Add inference config, supports_reasoning, supports_tools,
and context_length to InferenceStatusResponse.

Frontend: In the refresh callback, when an active model is detected,
apply mergeRecommendedInference and restore reasoning/tools flags
with proper Qwen3.5 size-based defaults.

* studio: fix delete dialog closing before async completes

Prevent AlertDialogAction's default close behavior with
e.preventDefault() so the dialog stays open during deletion.
Also block onOpenChange dismiss while deleting is in progress.

* fix: add Dict and Any imports to inference models

* studio: fix Qwen3.5 reasoning threshold in frontend load path

The frontend loadModel handler had the old threshold (<=2) for
disabling reasoning on small Qwen3.5 models. Changed to <9 to
match the backend. This was causing 4B to not properly disable
thinking by default when auto-loaded.

* studio: move GGUF delete to per-variant level

For GGUF repos, the trash icon now appears on each downloaded variant
row inside the quantization expander instead of on the repo-level row.
Backend accepts optional variant param to delete specific GGUF files
(blob + symlink) rather than the entire repo cache.

* studio: restore ggufContextLength on page refresh

The Max Tokens slider was capped at 32768 on page refresh because
ggufContextLength was not restored from the status response.
Now set it from statusRes.context_length on reconnect.

* fix: remove <think> from Qwen3.5 response template marker

The train-on-responses-only feature uses template markers to find
where the assistant response starts. The Qwen3.5 response marker
included '<think>\n' which is only present when thinking mode is
enabled. With thinking disabled (default for <9B), the marker
never matched, causing 100% of samples to be dropped.

Changed response marker from '<|im_start|>assistant\n<think>\n'
to '<|im_start|>assistant\n' which works regardless of thinking mode.

* studio: fix sloth ASCII art alignment in training overlay

* fix: correct sloth ASCII art alignment to match Unsloth banner

* studio: add Python and terminal tool calling to chat

Register python and terminal tools alongside web search. Python
executor validates imports (stdlib only) via unsloth_zoo
rl_environments, runs code in a subprocess sandbox with 5-min
timeout and cancel support. Terminal executor blocks dangerous
commands (rm, sudo, etc.) and runs in a temp directory.

Update llama_cpp tool loop to show tool-specific status messages
and pass cancel_event through to executors. Rename composer
toggle from "Search" to "Tools" and show TerminalIcon for
execution status pills.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* studio: fix Nemotron/transformers 5.x support, onboarding navigation, port binding

Backend:
- Dynamic transformers 5.x detection via tokenizer_config.json fetch
  (checks for TokenizersBackend class, cached per-model)
- Bump transformers 5.x version from 5.2.0 to 5.3.0 across all workers,
  setup scripts (setup.sh, setup.ps1)
- Auto-enable trust_remote_code for unsloth/* models needing transformers 5.x
  (workaround for NemotronH config parsing bug in transformers)
- Auto-install mamba-ssm/causal-conv1d for SSM models (NemotronH, Falcon-H1)
  with --no-build-isolation --no-deps to avoid torch version conflicts
- Add SO_REUSEADDR to port check in run.py (fixes Colab proxy stale connection
  falsely reporting port as in-use)

Frontend:
- Fix "Skip to Chat" navigation: use window.location.href instead of React
  Router navigate() to bypass useEffect redirect race
- Fix "Skip Onboarding" on splash: navigates to /studio (not /chat)
- Fix onboarding guard: only check isOnboardingDone() on initial mount
- Fix Chat card on step 1: add sr-only spacer for consistent alignment
- Fix Chat+Text both selected: clear RadioGroup value when Chat is selected

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* studio: split tools toggle into Search and Code buttons

Replace the single "Tools" toggle with two independent toggles:
- "Search" (globe icon) enables web search only
- "Code" (terminal icon) enables Python and terminal execution

Add enabled_tools list field to the inference payload so the
backend only registers the tools the user has toggled on. Both
toggles appear in the main composer and the compare composer.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* studio: fix tool calling import validation and error logging

Replace unsloth_zoo-dependent import checker with a standalone
ast-based validator using sys.stdlib_module_names. This properly
blocks non-stdlib imports (numpy, requests, etc.) and returns a
clear error message to the model so it can rewrite using only
stdlib.

Add full traceback to tool streaming error logs for debugging.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* fix: parse gpt-oss harmony channels for clean safetensors chat output

gpt-oss models emit multi-channel output via harmony protocol tokens
(<|channel|>analysis<|message|>... and <|channel|>final<|message|>...).
TextIteratorStreamer with skip_special_tokens=True strips the special
tokens but leaves channel names concatenated with content, producing
garbled output like "analysisWe need to...assistantfinalHello!".

Add HarmonyTextStreamer that decodes with skip_special_tokens=False,
parses harmony markup via regex, and emits <think>analysis</think>
for the analysis channel and plain text for the final channel --
reusing the existing frontend reasoning UI.

Also expose supports_reasoning=True for non-GGUF gpt-oss models in
the /status endpoint so the frontend enables the Think toggle.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* studio: use unsloth_zoo for Python sandbox validation

Set UNSLOTH_IS_PRESENT=1 and import check_python_modules and
check_signal_escape_patterns directly from unsloth_zoo instead
of a standalone fallback. This gives us the full Unsloth
validation including stdlib-only import checks and signal/timeout
escape pattern detection.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* studio: allow all imports in Python tool sandbox

Remove stdlib-only import restriction. Keep signal escape
pattern detection via unsloth_zoo for safety.

* studio: fix ReadTimeout on tool streaming final pass

The 0.5s read timeout used for cancel-checking during streaming
also fires when waiting for the first response from llama-server
(e.g. reasoning model thinking for 15+ seconds). Add
_stream_with_retry() context manager that retries on ReadTimeout
while checking cancel_event, so the model has unlimited time to
think before producing the first token. Applied to both the
regular streaming path and the tool-calling final pass.

* fix: rewrite HarmonyTextStreamer with stateful incremental parsing

The delta-on-transformed approach had two critical bugs:

1. Before the full <|channel|>X<|message|> pattern was complete, the
   strip-tokens fallback emitted "analysis" as plain text. Then when
   the regex matched, _transform returned a completely different format
   (<think>...</think>) and the delta was computed against the wrong
   base string, producing fragments like "think>", "nk>", ">".

2. Even with full matches, the closing </think> tag shifted position
   as content grew, so text[prev_len:] produced garbled deltas.

Replace with stateful incremental parsing that:
- Buffers until a complete channel+message pair is seen
- Emits <think> once when analysis channel first appears
- Streams analysis content deltas (computed on channel content directly)
- Emits </think> once when final channel first appears
- Streams final content deltas
- Closes open think tags in end()

Also skip the generic all_special_tokens stripping in
_clean_generated_text for gpt-oss since HarmonyTextStreamer already
produces clean output and the generic stripping was mangling <think>
tags.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* fix: strip all <|...|> tokens in gpt-oss cleanup, not just harmony subset

The gpt-oss tokenizer has added tokens like <|return|> (id=200002) that
are not part of the harmony channel protocol but can leak into output.
The previous regex only stripped channel|message|start|end tokens.

Broaden the _clean_generated_text regex for gpt-oss to <\|[a-z_]+\|>
which catches all pipe-delimited tokens (return, constrain, reserved,
etc.) without matching <think>/<\/think> tags.

Verified: gpt-oss all_special_tokens are only <|return|>,
<|reserved_200017|>, <|startoftext|> -- none overlap with <think>.
The harmony tokens (channel, message, start, end) are added_tokens
but not in all_special_tokens.

* fix: hide config-only model repos from cached models list

Repos that only have metadata/config files cached (no .safetensors or
.bin weight files) were showing up in the Downloaded list with tiny
sizes like "1.8 KB" or "24 KB". These are just leftover config
snapshots from architecture checks, not usable models.

Filter the cached-models endpoint to only include repos that contain
actual model weight files (.safetensors or .bin).

* studio: fix toast description text contrast in dark mode

Add explicit !text-muted-foreground to toast description classNames
so secondary text (e.g. "Releases VRAM and resets inference state.")
is readable in dark mode.

* studio: fix Chat card icon alignment with size-4 spacer

Replace sr-only span (takes no space) with a size-4 shrink-0 div
matching the RadioGroupItem dimensions in other cards, so the Chat
icon aligns vertically with Text/Audio/Vision/Embeddings icons.

---------

Co-authored-by: workspace <user@workspace.local>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Manan17 <shahmanan170602@gmail.com>
Co-authored-by: Roland Tannous <rolandtannous@gravityq.ai>
2026-03-17 07:46:07 -07:00

1171 lines
54 KiB
PowerShell

#Requires -Version 5.1
# SPDX-License-Identifier: AGPL-3.0-only
# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
<#
.SYNOPSIS
Full environment setup for Unsloth Studio on Windows (bundled version).
.DESCRIPTION
Always installs Node.js if needed. When running from pip install:
skips frontend build (already bundled). When running from git repo:
full setup including frontend build.
Requires an NVIDIA GPU -- CPU-only machines are not supported.
.NOTES
Usage: powershell -ExecutionPolicy Bypass -File setup.ps1
#>
$ErrorActionPreference = "Stop"
$ScriptDir = Split-Path -Parent $MyInvocation.MyCommand.Path
$PackageDir = Split-Path -Parent $ScriptDir
# Detect if running from pip install (no frontend/ dir in studio)
$FrontendDir = Join-Path $ScriptDir "frontend"
$OxcValidatorDir = Join-Path $ScriptDir "backend\core\data_recipe\oxc-validator"
$IsPipInstall = -not (Test-Path $FrontendDir)
# ─────────────────────────────────────────────
# Helper functions
# ─────────────────────────────────────────────
# Reload ALL environment variables from registry.
# Picks up changes made by installers (winget, msi, etc.) including
# Path, CUDA_PATH, CUDA_PATH_V*, and any other vars they set.
function Refresh-Environment {
foreach ($level in @('Machine', 'User')) {
$vars = [System.Environment]::GetEnvironmentVariables($level)
foreach ($key in $vars.Keys) {
if ($key -eq 'Path') { continue }
Set-Item -Path "Env:$key" -Value $vars[$key] -ErrorAction SilentlyContinue
}
}
$machinePath = [System.Environment]::GetEnvironmentVariable('Path', 'Machine')
$userPath = [System.Environment]::GetEnvironmentVariable('Path', 'User')
$env:Path = "$machinePath;$userPath"
}
# Find nvcc on PATH, CUDA_PATH, or standard toolkit dirs.
# Returns the path to nvcc.exe, or $null if not found.
function Find-Nvcc {
param([string]$MaxVersion = "")
# If MaxVersion is set, we need to find a toolkit <= that version.
# CUDA toolkits install side-by-side under C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\vX.Y\
$toolkitBase = 'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA'
if ($MaxVersion -and (Test-Path $toolkitBase)) {
$drMajor = [int]$MaxVersion.Split('.')[0]
$drMinor = [int]$MaxVersion.Split('.')[1]
# Get all installed CUDA dirs, sorted descending (highest first)
$cudaDirs = Get-ChildItem -Directory $toolkitBase | Where-Object {
$_.Name -match '^v(\d+)\.(\d+)'
} | Sort-Object { [version]($_.Name -replace '^v','') } -Descending
foreach ($dir in $cudaDirs) {
if ($dir.Name -match '^v(\d+)\.(\d+)') {
$tkMajor = [int]$Matches[1]; $tkMinor = [int]$Matches[2]
$compatible = ($tkMajor -lt $drMajor) -or ($tkMajor -eq $drMajor -and $tkMinor -le $drMinor)
if ($compatible) {
$nvcc = Join-Path $dir.FullName 'bin\nvcc.exe'
if (Test-Path $nvcc) {
return $nvcc
}
}
}
}
# No compatible side-by-side version found
return $null
}
# Fallback: no version constraint — pick latest or whatever is available
# 1. Check nvcc on PATH
$cmd = Get-Command nvcc -ErrorAction SilentlyContinue
if ($cmd) { return $cmd.Source }
# 2. Check CUDA_PATH env var
$cudaRoot = [Environment]::GetEnvironmentVariable('CUDA_PATH', 'Process')
if (-not $cudaRoot) { $cudaRoot = [Environment]::GetEnvironmentVariable('CUDA_PATH', 'Machine') }
if (-not $cudaRoot) { $cudaRoot = [Environment]::GetEnvironmentVariable('CUDA_PATH', 'User') }
if ($cudaRoot -and (Test-Path (Join-Path $cudaRoot 'bin\nvcc.exe'))) {
return (Join-Path $cudaRoot 'bin\nvcc.exe')
}
# 3. Scan standard toolkit directory
if (Test-Path $toolkitBase) {
$latest = Get-ChildItem -Directory $toolkitBase | Sort-Object Name | Select-Object -Last 1
if ($latest -and (Test-Path (Join-Path $latest.FullName 'bin\nvcc.exe'))) {
return (Join-Path $latest.FullName 'bin\nvcc.exe')
}
}
return $null
}
# Detect CUDA Compute Capability via nvidia-smi.
# Returns e.g. "80" for A100 (8.0), "89" for RTX 4090 (8.9), etc.
# Returns $null if detection fails.
function Get-CudaComputeCapability {
$nvSmi = Get-Command nvidia-smi -ErrorAction SilentlyContinue
if (-not $nvSmi) { return $null }
try {
$raw = & nvidia-smi --query-gpu=compute_cap --format=csv,noheader 2>$null
if ($LASTEXITCODE -ne 0 -or -not $raw) { return $null }
# nvidia-smi may return multiple GPUs; take the first one
$cap = ($raw -split "`n")[0].Trim()
if ($cap -match '^(\d+)\.(\d+)$') {
$major = $Matches[1]
$minor = $Matches[2]
return "$major$minor"
}
} catch { }
return $null
}
# Check if an nvcc binary supports a given sm_ architecture.
# Uses `nvcc --list-gpu-code` which outputs sm_* tokens (--list-gpu-arch
# outputs compute_* tokens instead). Available since CUDA 11.6.
# Returns $false if the flag isn't supported (old toolkit) — safer to reject
# and fall back to scanning/PTX than to assume support and fail later.
function Test-NvccArchSupport {
param([string]$NvccExe, [string]$Arch)
try {
$listCode = & $NvccExe --list-gpu-code 2>&1 | Out-String
if ($LASTEXITCODE -ne 0) { return $false }
return ($listCode -match "sm_$Arch")
} catch {
return $false
}
}
# Given an nvcc binary, return the highest sm_ architecture it supports.
# Returns e.g. "90" for CUDA 12.4. Returns $null if detection fails.
function Get-NvccMaxArch {
param([string]$NvccExe)
try {
$listCode = & $NvccExe --list-gpu-code 2>&1 | Out-String
if ($LASTEXITCODE -ne 0) { return $null }
$arches = @()
foreach ($line in $listCode -split "`n") {
if ($line.Trim() -match '^sm_(\d+)') {
$arches += [int]$Matches[1]
}
}
if ($arches.Count -gt 0) {
return ($arches | Sort-Object | Select-Object -Last 1).ToString()
}
} catch { }
return $null
}
# Detect driver's max CUDA version from nvidia-smi and return the highest
# compatible PyTorch CUDA index tag (e.g. "cu128").
# PyTorch on Windows ships CPU-only by default from PyPI; CUDA wheels live at
# https://download.pytorch.org/whl/<tag>. The tag must not exceed the driver's
# capability: e.g. driver "CUDA Version: 12.9" → cu128 (not cu130).
function Get-PytorchCudaTag {
$nvSmi = Get-Command nvidia-smi -ErrorAction SilentlyContinue
if (-not $nvSmi) { return "cu124" }
try {
# 2>&1 | Out-String merges stderr into stdout then converts to a single
# string. Plain 2>$null doesn't fully suppress stderr in PS 5.1 —
# ErrorRecord objects leak into $output and break the -match.
$output = & nvidia-smi 2>&1 | Out-String
if ($output -match 'CUDA Version:\s+(\d+)\.(\d+)') {
$major = [int]$Matches[1]
$minor = [int]$Matches[2]
# PyTorch 2.10 offers: cu124, cu126, cu128, cu130
if ($major -ge 13) { return "cu130" }
if ($major -eq 12 -and $minor -ge 8) { return "cu128" }
if ($major -eq 12 -and $minor -ge 6) { return "cu126" }
return "cu124"
}
} catch { }
return "cu124"
}
# Find Visual Studio Build Tools for cmake -G flag.
# Strategy: (1) vswhere, (2) scan filesystem (handles broken vswhere registration).
# Returns @{ Generator = "Visual Studio 17 2022"; InstallPath = "C:\..."; Source = "..." } or $null.
function Find-VsBuildTools {
$map = @{ '2022' = '17'; '2019' = '16'; '2017' = '15' }
# --- Try vswhere first (works when VS is properly registered) ---
$vsw = "${env:ProgramFiles(x86)}\Microsoft Visual Studio\Installer\vswhere.exe"
if (Test-Path $vsw) {
$info = & $vsw -latest -requires Microsoft.VisualStudio.Component.VC.Tools.x86.x64 -property catalog_productLineVersion 2>$null
$path = & $vsw -latest -requires Microsoft.VisualStudio.Component.VC.Tools.x86.x64 -property installationPath 2>$null
if ($info -and $path) {
$y = $info.Trim()
$n = $map[$y]
if ($n) {
return @{ Generator = "Visual Studio $n $y"; InstallPath = $path.Trim(); Source = 'vswhere' }
}
}
}
# --- Scan filesystem (handles broken vswhere registration after winget cycles) ---
$roots = @($env:ProgramFiles, ${env:ProgramFiles(x86)})
$editions = @('BuildTools', 'Community', 'Professional', 'Enterprise')
$years = @('2022', '2019', '2017')
foreach ($y in $years) {
foreach ($r in $roots) {
foreach ($ed in $editions) {
$candidate = Join-Path $r "Microsoft Visual Studio\$y\$ed"
if (Test-Path $candidate) {
$vcDir = Join-Path $candidate "VC\Tools\MSVC"
if (Test-Path $vcDir) {
$cl = Get-ChildItem -Path $vcDir -Filter "cl.exe" -Recurse -ErrorAction SilentlyContinue | Select-Object -First 1
if ($cl) {
$n = $map[$y]
if ($n) {
return @{ Generator = "Visual Studio $n $y"; InstallPath = $candidate; Source = "filesystem ($ed)"; ClExe = $cl.FullName }
}
}
}
}
}
}
}
return $null
}
# ─────────────────────────────────────────────
# Banner
# ─────────────────────────────────────────────
Write-Host "+==============================================+" -ForegroundColor Green
Write-Host "| Unsloth Studio Setup (Windows) |" -ForegroundColor Green
Write-Host "+==============================================+" -ForegroundColor Green
# ==========================================================================
# PHASE 1: System-level prerequisites (winget installs, env vars)
# All heavy system tool installs happen here BEFORE touching Python.
# ==========================================================================
# ============================================
# 1a. GPU requirement check
# ============================================
$HasNvidiaSmi = $false
try {
nvidia-smi 2>&1 | Out-Null
if ($LASTEXITCODE -eq 0) { $HasNvidiaSmi = $true }
} catch {}
if (-not $HasNvidiaSmi) {
Write-Host ""
Write-Host "[ERROR] Unsloth Studio requires an NVIDIA GPU." -ForegroundColor Red
Write-Host " CPU-only machines are not supported." -ForegroundColor Red
Write-Host ""
Write-Host " If you have an NVIDIA GPU, ensure the driver is installed:" -ForegroundColor Yellow
Write-Host " https://www.nvidia.com/Download/index.aspx" -ForegroundColor Yellow
exit 1
}
Write-Host "[OK] NVIDIA GPU detected" -ForegroundColor Green
# ============================================
# 1a.5. Windows Long Paths (required for deep node_modules / Python paths)
# ============================================
$LongPathsEnabled = $false
try {
$regVal = Get-ItemProperty -Path "HKLM:\SYSTEM\CurrentControlSet\Control\FileSystem" -Name "LongPathsEnabled" -ErrorAction SilentlyContinue
if ($regVal -and $regVal.LongPathsEnabled -eq 1) {
$LongPathsEnabled = $true
}
} catch {}
if ($LongPathsEnabled) {
Write-Host "[OK] Windows Long Paths enabled" -ForegroundColor Green
} else {
Write-Host "Windows Long Paths not enabled (required for Triton compilation and deep dependency paths)." -ForegroundColor Yellow
Write-Host " Requesting admin access to fix..." -ForegroundColor Yellow
try {
# Spawn an elevated process to set the registry key (triggers UAC prompt)
$proc = Start-Process -FilePath "reg.exe" `
-ArgumentList 'add "HKLM\SYSTEM\CurrentControlSet\Control\FileSystem" /v LongPathsEnabled /t REG_DWORD /d 1 /f' `
-Verb RunAs -Wait -PassThru -ErrorAction Stop
if ($proc.ExitCode -eq 0) {
$LongPathsEnabled = $true
Write-Host "[OK] Windows Long Paths enabled (via UAC)" -ForegroundColor Green
} else {
Write-Host "[WARN] Failed to enable Long Paths (exit code: $($proc.ExitCode))" -ForegroundColor Yellow
}
} catch {
Write-Host "[WARN] Could not enable Long Paths (UAC was declined or not available)" -ForegroundColor Yellow
Write-Host " Run this manually in an Admin terminal:" -ForegroundColor Yellow
Write-Host ' reg add "HKLM\SYSTEM\CurrentControlSet\Control\FileSystem" /v LongPathsEnabled /t REG_DWORD /d 1 /f' -ForegroundColor Cyan
}
}
# ============================================
# 1b. Git (required by pip for git+https:// deps and by npm)
# ============================================
$HasGit = $null -ne (Get-Command git -ErrorAction SilentlyContinue)
if (-not $HasGit) {
Write-Host "Git not found -- installing via winget..." -ForegroundColor Yellow
$HasWinget = $null -ne (Get-Command winget -ErrorAction SilentlyContinue)
if ($HasWinget) {
try {
winget install Git.Git --source winget --accept-package-agreements --accept-source-agreements 2>&1 | Out-Null
Refresh-Environment
$HasGit = $null -ne (Get-Command git -ErrorAction SilentlyContinue)
} catch { }
}
if (-not $HasGit) {
Write-Host "[ERROR] Git is required but could not be installed automatically." -ForegroundColor Red
Write-Host " Install Git from https://git-scm.com/download/win and re-run." -ForegroundColor Red
exit 1
}
Write-Host "[OK] Git installed: $(git --version)" -ForegroundColor Green
} else {
Write-Host "[OK] Git found: $(git --version)" -ForegroundColor Green
}
# ============================================
# 1c. CMake (required for llama.cpp build)
# ============================================
$HasCmake = $null -ne (Get-Command cmake -ErrorAction SilentlyContinue)
if (-not $HasCmake) {
Write-Host "CMake not found -- installing via winget..." -ForegroundColor Yellow
$HasWinget = $null -ne (Get-Command winget -ErrorAction SilentlyContinue)
if ($HasWinget) {
try {
winget install Kitware.CMake --source winget --accept-package-agreements --accept-source-agreements 2>&1 | Out-Null
Refresh-Environment
$HasCmake = $null -ne (Get-Command cmake -ErrorAction SilentlyContinue)
} catch { }
}
if ($HasCmake) {
Write-Host "[OK] CMake installed" -ForegroundColor Green
} else {
Write-Host "[ERROR] CMake is required but could not be installed." -ForegroundColor Red
Write-Host " Install CMake from https://cmake.org/download/ and re-run." -ForegroundColor Red
exit 1
}
} else {
Write-Host "[OK] CMake found: $(cmake --version | Select-Object -First 1)" -ForegroundColor Green
}
# ============================================
# 1d. Visual Studio Build Tools (C++ compiler for llama.cpp)
# ============================================
$CmakeGenerator = $null
$VsInstallPath = $null
$vsResult = Find-VsBuildTools
if (-not $vsResult) {
Write-Host "Visual Studio Build Tools not found -- installing via winget..." -ForegroundColor Yellow
Write-Host " (This is a one-time install, may take several minutes)" -ForegroundColor Gray
$HasWinget = $null -ne (Get-Command winget -ErrorAction SilentlyContinue)
if ($HasWinget) {
$prevEAPTemp = $ErrorActionPreference
$ErrorActionPreference = "Continue"
winget install Microsoft.VisualStudio.2022.BuildTools --source winget --accept-package-agreements --accept-source-agreements --override "--add Microsoft.VisualStudio.Workload.VCTools --includeRecommended --passive --wait"
$ErrorActionPreference = $prevEAPTemp
# Re-scan after install (don't trust vswhere catalog)
$vsResult = Find-VsBuildTools
}
}
if ($vsResult) {
$CmakeGenerator = $vsResult.Generator
$VsInstallPath = $vsResult.InstallPath
Write-Host "[OK] $CmakeGenerator detected via $($vsResult.Source)" -ForegroundColor Green
if ($vsResult.ClExe) { Write-Host " cl.exe: $($vsResult.ClExe)" -ForegroundColor Gray }
} else {
Write-Host "[ERROR] Visual Studio Build Tools could not be found or installed." -ForegroundColor Red
Write-Host " Manual install:" -ForegroundColor Red
Write-Host ' 1. winget install Microsoft.VisualStudio.2022.BuildTools --source winget' -ForegroundColor Yellow
Write-Host ' 2. Open Visual Studio Installer -> Modify -> check "Desktop development with C++"' -ForegroundColor Yellow
exit 1
}
# ============================================
# 1e. CUDA Toolkit (nvcc for llama.cpp build + env vars)
# ============================================
# IMPORTANT: The CUDA Toolkit version must be <= the max CUDA version the
# NVIDIA driver supports. nvidia-smi reports this as "CUDA Version: X.Y".
# If we install a toolkit newer than the driver supports, llama-server will
# fail at runtime with "ggml_cuda_init: failed to initialize CUDA: (null)".
# -- Detect max CUDA version the driver supports --
$DriverMaxCuda = $null
try {
$smiOut = nvidia-smi 2>&1 | Out-String
if ($smiOut -match "CUDA Version:\s+([\d]+)\.([\d]+)") {
$DriverMaxCuda = "$($Matches[1]).$($Matches[2])"
Write-Host " Driver supports up to CUDA $DriverMaxCuda" -ForegroundColor Gray
}
} catch {}
# Detect compute capability early so we can validate toolkit support
$CudaArch = Get-CudaComputeCapability
if ($CudaArch) {
Write-Host " GPU Compute Capability = $($CudaArch.Insert($CudaArch.Length-1, '.')) (sm_$CudaArch)" -ForegroundColor Gray
}
# -- Find a toolkit that's compatible with the driver AND the GPU --
# Strategy: prefer the toolkit at CUDA_PATH (user's existing setup) if it's
# compatible with the driver AND supports the GPU architecture. Only fall back
# to scanning side-by-side installs if CUDA_PATH is missing, points to an
# incompatible version, or can't compile for the GPU. This avoids
# header/binary mismatches when multiple toolkits are installed.
$IncompatibleToolkit = $null
$NvccPath = $null
if ($DriverMaxCuda) {
$drMajorCuda = [int]$DriverMaxCuda.Split('.')[0]
$drMinorCuda = [int]$DriverMaxCuda.Split('.')[1]
# --- Step 1: Check existing CUDA_PATH first ---
$existingCudaPath = [Environment]::GetEnvironmentVariable('CUDA_PATH', 'Machine')
if (-not $existingCudaPath) {
$existingCudaPath = [Environment]::GetEnvironmentVariable('CUDA_PATH', 'User')
}
if ($existingCudaPath -and (Test-Path (Join-Path $existingCudaPath 'bin\nvcc.exe'))) {
$candidateNvcc = Join-Path $existingCudaPath 'bin\nvcc.exe'
$verOut = & $candidateNvcc --version 2>&1 | Out-String
if ($verOut -match 'release\s+(\d+)\.(\d+)') {
$tkMaj = [int]$Matches[1]; $tkMin = [int]$Matches[2]
$isCompat = ($tkMaj -lt $drMajorCuda) -or ($tkMaj -eq $drMajorCuda -and $tkMin -le $drMinorCuda)
if ($isCompat) {
# Also verify the toolkit supports our GPU architecture
Write-Host " [DEBUG] Checking CUDA compatibility: toolkit=$tkMaj.$tkMin arch=sm_$CudaArch" -ForegroundColor Magenta
$archOk = $true
if ($CudaArch) {
$archOk = Test-NvccArchSupport -NvccExe $candidateNvcc -Arch $CudaArch
if (-not $archOk) {
Write-Host " [INFO] CUDA_PATH toolkit (CUDA $tkMaj.$tkMin) does not support GPU arch sm_$CudaArch" -ForegroundColor Yellow
Write-Host " Looking for a newer toolkit..." -ForegroundColor Yellow
}
}
if ($archOk) {
$NvccPath = $candidateNvcc
Write-Host " [OK] Using existing CUDA Toolkit at CUDA_PATH (nvcc: $NvccPath)" -ForegroundColor Green
}
} else {
Write-Host " [INFO] CUDA_PATH ($existingCudaPath) has CUDA $tkMaj.$tkMin which exceeds driver max $DriverMaxCuda" -ForegroundColor Yellow
}
}
}
# --- Step 2: Fall back to scanning side-by-side installs ---
if (-not $NvccPath) {
$NvccPath = Find-Nvcc -MaxVersion $DriverMaxCuda
if ($NvccPath) {
Write-Host " [OK] Found compatible CUDA Toolkit (nvcc: $NvccPath)" -ForegroundColor Green
if ($existingCudaPath) {
$selectedRoot = Split-Path (Split-Path $NvccPath -Parent) -Parent
if ($existingCudaPath.TrimEnd('\') -ne $selectedRoot.TrimEnd('\')) {
Write-Host " [INFO] Overriding CUDA_PATH from $existingCudaPath to $selectedRoot" -ForegroundColor Yellow
}
}
} else {
# Check if there's an incompatible (too new) toolkit installed
$AnyNvcc = Find-Nvcc
if ($AnyNvcc) {
$NvccOut = & $AnyNvcc --version 2>&1 | Out-String
if ($NvccOut -match "release\s+([\d]+\.[\d]+)") {
$IncompatibleToolkit = $Matches[1]
}
}
}
}
} else {
$NvccPath = Find-Nvcc
}
# -- If incompatible toolkit is blocking, tell user to uninstall it --
if (-not $NvccPath -and $IncompatibleToolkit) {
Write-Host "" -ForegroundColor Red
Write-Host "========================================================================" -ForegroundColor Red
Write-Host "[ERROR] CUDA Toolkit $IncompatibleToolkit is installed but INCOMPATIBLE" -ForegroundColor Red
Write-Host " with your NVIDIA driver (which supports up to CUDA $DriverMaxCuda)." -ForegroundColor Red
Write-Host "" -ForegroundColor Red
Write-Host " This will cause 'failed to initialize CUDA' errors at runtime." -ForegroundColor Red
Write-Host "" -ForegroundColor Red
Write-Host " To fix:" -ForegroundColor Yellow
Write-Host " 1. Open Control Panel -> Programs -> Uninstall a program" -ForegroundColor Yellow
Write-Host " 2. Uninstall 'NVIDIA CUDA Toolkit $IncompatibleToolkit'" -ForegroundColor Yellow
Write-Host " 3. Re-run setup.bat (it will install CUDA $DriverMaxCuda automatically)" -ForegroundColor Yellow
Write-Host "" -ForegroundColor Yellow
Write-Host " Alternatively, update your NVIDIA driver to one that supports CUDA $IncompatibleToolkit." -ForegroundColor Gray
Write-Host "========================================================================" -ForegroundColor Red
exit 1
}
# -- No toolkit at all: install via winget --
if (-not $NvccPath) {
Write-Host "CUDA toolkit (nvcc) not found -- installing via winget..." -ForegroundColor Yellow
$HasWinget = $null -ne (Get-Command winget -ErrorAction SilentlyContinue)
if ($HasWinget) {
if ($DriverMaxCuda) {
# Query winget for available CUDA Toolkit versions
$drMajor = [int]$DriverMaxCuda.Split('.')[0]
$drMinor = [int]$DriverMaxCuda.Split('.')[1]
$AvailableVersions = @()
try {
$rawOutput = winget show Nvidia.CUDA --versions --accept-source-agreements 2>&1 | Out-String
# Parse version lines (e.g. "12.6", "12.5", "11.8")
foreach ($line in $rawOutput -split "`n") {
$line = $line.Trim()
if ($line -match '^\d+\.\d+') {
$AvailableVersions += $line
}
}
} catch {}
# Filter to compatible versions (<= driver max) and pick the highest
$BestVersion = $null
foreach ($ver in $AvailableVersions) {
$parts = $ver.Split('.')
$vMajor = [int]$parts[0]
$vMinor = [int]$parts[1]
if ($vMajor -lt $drMajor -or ($vMajor -eq $drMajor -and $vMinor -le $drMinor)) {
$BestVersion = $ver
break # list is descending, first match is highest compatible
}
}
if ($BestVersion) {
Write-Host " Installing CUDA Toolkit $BestVersion via winget... " -ForegroundColor Cyan
$prevEAPCuda = $ErrorActionPreference
$ErrorActionPreference = "Continue"
winget install --id=Nvidia.CUDA --version=$BestVersion -e --source winget --accept-package-agreements --accept-source-agreements 2>&1 | Out-Null
$ErrorActionPreference = $prevEAPCuda
Refresh-Environment
$NvccPath = Find-Nvcc -MaxVersion $DriverMaxCuda
if ($NvccPath) {
Write-Host " [OK] CUDA Toolkit $BestVersion installed (nvcc: $NvccPath)" -ForegroundColor Green
}
} else {
Write-Host " [WARN] No compatible CUDA Toolkit version found in winget (need <= $DriverMaxCuda)" -ForegroundColor Yellow
}
} else {
Write-Host " Installing CUDA Toolkit (latest) via winget..." -ForegroundColor Cyan
winget install --id=Nvidia.CUDA -e --source winget --accept-package-agreements --accept-source-agreements
Refresh-Environment
$NvccPath = Find-Nvcc
if ($NvccPath) {
Write-Host " [OK] CUDA Toolkit installed (nvcc: $NvccPath)" -ForegroundColor Green
}
}
}
}
if (-not $NvccPath) {
Write-Host "[ERROR] CUDA Toolkit (nvcc) is required but could not be found or installed." -ForegroundColor Red
if ($DriverMaxCuda) {
Write-Host " Install CUDA Toolkit $DriverMaxCuda from https://developer.nvidia.com/cuda-toolkit-archive" -ForegroundColor Yellow
} else {
Write-Host " Install CUDA Toolkit from https://developer.nvidia.com/cuda-downloads" -ForegroundColor Yellow
}
exit 1
}
# -- Set CUDA env vars so cmake AND MSBuild can find the toolkit --
$CudaToolkitRoot = Split-Path (Split-Path $NvccPath -Parent) -Parent
# CUDA_PATH: used by cmake's find_package(CUDAToolkit)
[Environment]::SetEnvironmentVariable('CUDA_PATH', $CudaToolkitRoot, 'Process')
# CudaToolkitDir: the MSBuild property that CUDA .targets checks directly
# Trailing backslash required -- the .targets file appends subpaths to it
[Environment]::SetEnvironmentVariable('CudaToolkitDir', "$CudaToolkitRoot\", 'Process')
# Always persist CUDA_PATH to User registry so the compatible toolkit is used
# in future sessions (overwrites any existing value pointing to a newer, incompatible version)
[Environment]::SetEnvironmentVariable('CUDA_PATH', $CudaToolkitRoot, 'User')
Write-Host " Persisted CUDA_PATH=$CudaToolkitRoot to user environment" -ForegroundColor Gray
# Clear all versioned CUDA_PATH_V* env vars in this process to prevent
# cmake/MSBuild from discovering a conflicting CUDA installation.
$cudaPathVars = @([Environment]::GetEnvironmentVariables('Process').Keys | Where-Object { $_ -match '^CUDA_PATH_V' })
foreach ($v in $cudaPathVars) {
[Environment]::SetEnvironmentVariable($v, $null, 'Process')
}
# Set only the versioned var matching the selected toolkit (e.g. CUDA_PATH_V13_0)
$tkDirName = Split-Path $CudaToolkitRoot -Leaf
if ($tkDirName -match '^v(\d+)\.(\d+)') {
$cudaPathVerVar = "CUDA_PATH_V$($Matches[1])_$($Matches[2])"
[Environment]::SetEnvironmentVariable($cudaPathVerVar, $CudaToolkitRoot, 'Process')
Write-Host " Set $cudaPathVerVar (cleared other CUDA_PATH_V* vars)" -ForegroundColor Gray
}
# Ensure nvcc's bin dir is on PATH for this process
$nvccBinDir = Split-Path $NvccPath -Parent
if ($env:PATH -notlike "*$nvccBinDir*") {
[Environment]::SetEnvironmentVariable('PATH', "$nvccBinDir;$env:PATH", 'Process')
}
# Persist nvcc bin dir to User PATH so it works in new terminals
$userPath = [Environment]::GetEnvironmentVariable('Path', 'User')
if (-not $userPath -or $userPath -notlike "*$nvccBinDir*") {
if ($userPath) {
[Environment]::SetEnvironmentVariable('Path', "$nvccBinDir;$userPath", 'User')
} else {
[Environment]::SetEnvironmentVariable('Path', "$nvccBinDir", 'User')
}
Write-Host " Persisted CUDA bin dir to user PATH" -ForegroundColor Gray
}
# -- Ensure CUDA ↔ Visual Studio integration files exist --
# When CUDA is installed before VS Build Tools (or VS is reinstalled after CUDA),
# the MSBuild .targets/.props files that let VS compile .cu files are missing.
# cmake fails with "No CUDA toolset found". Fix: copy from CUDA extras dir.
if ($VsInstallPath -and $CudaToolkitRoot) {
$vsCustomizations = Join-Path $VsInstallPath "MSBuild\Microsoft\VC\v170\BuildCustomizations"
$cudaExtras = Join-Path $CudaToolkitRoot "extras\visual_studio_integration\MSBuildExtensions"
if ((Test-Path $cudaExtras) -and (Test-Path $vsCustomizations)) {
$hasTargets = Get-ChildItem $vsCustomizations -Filter "CUDA *.targets" -ErrorAction SilentlyContinue
if (-not $hasTargets) {
Write-Host " [INFO] CUDA VS integration missing -- copying .targets files..." -ForegroundColor Yellow
try {
Copy-Item "$cudaExtras\*" $vsCustomizations -Force -ErrorAction Stop
Write-Host " [OK] CUDA VS integration files installed" -ForegroundColor Green
} catch {
Write-Host " [WARN] Could not copy CUDA VS integration files (may need admin)" -ForegroundColor Yellow
Write-Host " Manual fix: copy contents of" -ForegroundColor Yellow
Write-Host " $cudaExtras" -ForegroundColor Cyan
Write-Host " into:" -ForegroundColor Yellow
Write-Host " $vsCustomizations" -ForegroundColor Cyan
}
}
}
}
Write-Host "[OK] CUDA Toolkit: $NvccPath" -ForegroundColor Green
Write-Host " CUDA_PATH = $CudaToolkitRoot" -ForegroundColor Gray
Write-Host " CudaToolkitDir = $CudaToolkitRoot\" -ForegroundColor Gray
# $CudaArch was detected earlier (before toolkit selection) so it could
# influence which toolkit we picked. Just log the final state here.
if (-not $CudaArch) {
Write-Host " [WARN] Could not detect compute capability -- cmake will use defaults" -ForegroundColor Yellow
}
# ============================================
# 1f. Node.js / npm (skip if pip-installed -- only needed for frontend build)
# ============================================
if ($IsPipInstall) {
Write-Host "[OK] Running from pip install - frontend already bundled, skipping Node/npm check" -ForegroundColor Green
} else {
# setup.sh installs Node LTS (v22) via nvm. We enforce the same range here:
# Node >= 20, npm >= 11.
$NeedNode = $true
try {
$NodeVersion = (node -v 2>$null)
$NpmVersion = (npm -v 2>$null)
if ($NodeVersion -and $NpmVersion) {
$NodeMajor = [int]($NodeVersion -replace 'v','').Split('.')[0]
$NpmMajor = [int]$NpmVersion.Split('.')[0]
if ($NodeMajor -ge 20 -and $NpmMajor -ge 11) {
Write-Host "[OK] Node $NodeVersion and npm $NpmVersion already meet requirements." -ForegroundColor Green
$NeedNode = $false
} else {
Write-Host "[WARN] Node $NodeVersion / npm $NpmVersion too old." -ForegroundColor Yellow
}
}
} catch {
Write-Host "[WARN] Node/npm not found." -ForegroundColor Yellow
}
if ($NeedNode) {
Write-Host "Installing Node.js LTS via winget..." -ForegroundColor Cyan
try {
winget install OpenJS.NodeJS.LTS --source winget --accept-package-agreements --accept-source-agreements
Refresh-Environment
} catch {
Write-Host "[ERROR] Could not install Node.js automatically." -ForegroundColor Red
Write-Host "Please install Node.js >= 20 from https://nodejs.org/" -ForegroundColor Red
exit 1
}
}
Write-Host "[OK] Node $(node -v) | npm $(npm -v)" -ForegroundColor Green
}
# ============================================
# 1g. Python (>= 3.11 and < 3.14, matching setup.sh)
# ============================================
$HasPython = $null -ne (Get-Command python -ErrorAction SilentlyContinue)
$PythonOk = $false
if ($HasPython) {
$PyVer = python --version 2>&1
if ($PyVer -match "(\d+)\.(\d+)") {
$PyMajor = [int]$Matches[1]; $PyMinor = [int]$Matches[2]
if ($PyMajor -eq 3 -and $PyMinor -ge 11 -and $PyMinor -lt 14) {
Write-Host "[OK] Python $PyVer" -ForegroundColor Green
$PythonOk = $true
} else {
Write-Host "[ERROR] Python $PyVer is outside supported range (need >= 3.11 and < 3.14)." -ForegroundColor Red
Write-Host " Install Python 3.12 from https://python.org/downloads/" -ForegroundColor Yellow
exit 1
}
}
} else {
# No Python at all -- install 3.12
Write-Host "Python not found -- installing Python 3.12 via winget..." -ForegroundColor Yellow
$HasWinget = $null -ne (Get-Command winget -ErrorAction SilentlyContinue)
if ($HasWinget) {
winget install -e --id Python.Python.3.12 --source winget --accept-package-agreements --accept-source-agreements
Refresh-Environment
}
$HasPython = $null -ne (Get-Command python -ErrorAction SilentlyContinue)
if (-not $HasPython) {
Write-Host "[ERROR] Python could not be installed automatically." -ForegroundColor Red
Write-Host " Install Python 3.12 from https://python.org/downloads/" -ForegroundColor Yellow
exit 1
}
Write-Host "[OK] Python $(python --version)" -ForegroundColor Green
$PythonOk = $true
}
# Ensure Python Scripts dir is on PATH (so 'unsloth' command works in new terminals)
$ScriptsDir = python -c "import sysconfig; print(sysconfig.get_path('scripts', 'nt_user') if __import__('os').path.exists(sysconfig.get_path('scripts', 'nt_user')) else sysconfig.get_path('scripts'))"
if ($LASTEXITCODE -eq 0 -and $ScriptsDir -and (Test-Path $ScriptsDir)) {
$UserPath = [Environment]::GetEnvironmentVariable('Path', 'User')
$UserPathEntries = if ($UserPath) { $UserPath.Split(';') } else { @() }
if (-not ($UserPathEntries | Where-Object { $_.TrimEnd('\') -eq $ScriptsDir })) {
$newUserPath = if ($UserPath) { "$ScriptsDir;$UserPath" } else { $ScriptsDir }
[Environment]::SetEnvironmentVariable('Path', $newUserPath, 'User')
# Also add to current process so it's available immediately
$ProcessPathEntries = $env:PATH.Split(';')
if (-not ($ProcessPathEntries | Where-Object { $_.TrimEnd('\') -eq $ScriptsDir })) {
$env:PATH = "$ScriptsDir;$env:PATH"
}
Write-Host " Persisted Python Scripts dir to user PATH: $ScriptsDir" -ForegroundColor Gray
}
}
Write-Host ""
Write-Host "--- System prerequisites ready ---" -ForegroundColor Green
Write-Host ""
# ==========================================================================
# PHASE 2: Frontend build (skip if pip-installed -- already bundled)
# ==========================================================================
if ($IsPipInstall) {
Write-Host "[OK] Running from pip install - frontend already bundled, skipping build" -ForegroundColor Green
} else {
Write-Host ""
Write-Host "Building frontend..." -ForegroundColor Cyan
# npm writes warnings to stderr; lower ErrorActionPreference so PS doesn't
# treat them as terminating errors (same pattern as the pip section below).
$prevEAP_npm = $ErrorActionPreference
$ErrorActionPreference = "Continue"
Push-Location $FrontendDir
# Remove stale node_modules and package-lock.json to avoid version conflicts
if (Test-Path "node_modules") { Remove-Item -Recurse -Force "node_modules" }
if (Test-Path "package-lock.json") { Remove-Item -Force "package-lock.json" }
npm install 2>&1 | Out-Null
if ($LASTEXITCODE -ne 0) {
Pop-Location
$ErrorActionPreference = $prevEAP_npm
Write-Host "[ERROR] npm install failed (exit code $LASTEXITCODE)" -ForegroundColor Red
Write-Host " Try running 'npm install' manually in frontend/ to see errors" -ForegroundColor Yellow
exit 1
}
npm run build 2>&1 | Out-Null
if ($LASTEXITCODE -ne 0) {
Pop-Location
$ErrorActionPreference = $prevEAP_npm
Write-Host "[ERROR] npm run build failed (exit code $LASTEXITCODE)" -ForegroundColor Red
exit 1
}
Pop-Location
$ErrorActionPreference = $prevEAP_npm
Write-Host "[OK] Frontend built to frontend/dist" -ForegroundColor Green
}
if (Test-Path $OxcValidatorDir) {
Write-Host "Installing OXC validator runtime..." -ForegroundColor Cyan
$prevEAP_oxc = $ErrorActionPreference
$ErrorActionPreference = "Continue"
Push-Location $OxcValidatorDir
npm install 2>&1 | Out-Null
if ($LASTEXITCODE -ne 0) {
Pop-Location
$ErrorActionPreference = $prevEAP_oxc
Write-Host "[ERROR] OXC validator npm install failed (exit code $LASTEXITCODE)" -ForegroundColor Red
exit 1
}
Pop-Location
$ErrorActionPreference = $prevEAP_oxc
Write-Host "[OK] OXC validator runtime installed" -ForegroundColor Green
}
# ==========================================================================
# PHASE 3: Python environment + dependencies
# ==========================================================================
Write-Host ""
Write-Host "Setting up Python environment..." -ForegroundColor Cyan
# Find Python
$PythonCmd = $null
foreach ($candidate in @("python3.13", "python3.12", "python3.11", "python3", "python")) {
try {
$ver = & $candidate --version 2>&1
if ($ver -match 'Python 3\.(\d+)') {
$minor = [int]$Matches[1]
if ($minor -ge 11 -and $minor -le 13) {
$PythonCmd = $candidate
break
}
}
} catch { }
}
if (-not $PythonCmd) {
Write-Host "[ERROR] No Python 3.11-3.13 found." -ForegroundColor Red
exit 1
}
Write-Host "[OK] Using $PythonCmd ($(& $PythonCmd --version 2>&1))" -ForegroundColor Green
# Always create a .venv for isolation -- even for pip installs.
# Created in the repo root (parent of studio/).
$VenvDir = Join-Path $env:USERPROFILE ".unsloth\studio\.venv"
if (-not (Test-Path $VenvDir)) {
Write-Host " Creating virtual environment at $VenvDir..." -ForegroundColor Cyan
& $PythonCmd -m venv $VenvDir
} else {
Write-Host " Reusing existing virtual environment at $VenvDir" -ForegroundColor Green
}
# pip and python write to stderr even on success (progress bars, warnings).
# With $ErrorActionPreference = "Stop" (set at top of script), PS 5.1
# converts stderr lines into terminating ErrorRecords, breaking output.
# Lower to "Continue" for the pip/python section.
$prevEAP = $ErrorActionPreference
$ErrorActionPreference = "Continue"
$ActivateScript = Join-Path $VenvDir "Scripts\Activate.ps1"
. $ActivateScript
pip install --upgrade pip 2>&1 | Out-Null
# if (-not $IsPipInstall) {
# # Running from repo: copy requirements and do editable install
# $RepoRoot = (Resolve-Path (Join-Path $ScriptDir "..\..")).Path
# $ReqsSrc = Join-Path $RepoRoot "backend\requirements"
# $ReqsDst = Join-Path $PackageDir "requirements"
# if (-not (Test-Path $ReqsDst)) { New-Item -ItemType Directory -Path $ReqsDst | Out-Null }
# Copy-Item (Join-Path $ReqsSrc "*.txt") $ReqsDst -Force
# Write-Host " Installing CLI entry point..." -ForegroundColor Cyan
# pip install -e $RepoRoot 2>&1 | Out-Null
# } else {
# # Running from pip install: the package is in system Python but not in
# # the fresh .venv. Install it so run_install() can find its modules
# # and bundled requirements files.
# Write-Host " Installing package into venv..." -ForegroundColor Cyan
# pip install unsloth-roland-test 2>&1 | Out-Null
# }
# Pre-install PyTorch with CUDA support.
# On Windows, the default PyPI torch wheel is CPU-only.
# We need PyTorch's CUDA index to get GPU-enabled wheels.
# PyTorch bundles its own CUDA runtime, so this works regardless
# of whether the CUDA Toolkit is installed yet.
# The CUDA tag is chosen based on the driver's max supported CUDA version.
# Windows MAX_PATH (260 chars) causes Triton kernel compilation to fail because
# the auto-generated filenames are extremely long. Use a short cache directory.
$TorchCacheDir = "C:\tc"
if (-not (Test-Path $TorchCacheDir)) { New-Item -ItemType Directory -Path $TorchCacheDir -Force | Out-Null }
$env:TORCHINDUCTOR_CACHE_DIR = $TorchCacheDir
[Environment]::SetEnvironmentVariable('TORCHINDUCTOR_CACHE_DIR', $TorchCacheDir, 'User')
Write-Host "[OK] TORCHINDUCTOR_CACHE_DIR set to $TorchCacheDir (avoids MAX_PATH issues)" -ForegroundColor Green
$CuTag = Get-PytorchCudaTag
Write-Host " Installing PyTorch with CUDA support ($CuTag)..." -ForegroundColor Cyan
pip install torch torchvision torchaudio --index-url "https://download.pytorch.org/whl/$CuTag" 2>&1 | Out-Null
# Install Triton for Windows (enables torch.compile — without it training can hang)
Write-Host " Installing Triton for Windows..." -ForegroundColor Cyan
pip install "triton-windows<3.7" 2>&1 | Out-Null
Write-Host "[OK] Triton for Windows installed (enables torch.compile)" -ForegroundColor Green
# Ordered heavy dependency installation — shared cross-platform script
Write-Host " Running ordered dependency installation..." -ForegroundColor Cyan
python "$PSScriptRoot\install_python_stack.py"
# Restore ErrorActionPreference after pip/python work
$ErrorActionPreference = $prevEAP
# ── Pre-install transformers 5.x into .venv_t5/ ──
# Models like GLM-4.7-Flash need transformers>=5.3.0. Instead of pip-installing
# at runtime (slow, ~10-15s), we pre-install into a separate directory.
# The training subprocess just prepends .venv_t5/ to sys.path — instant switch.
Write-Host ""
Write-Host " Pre-installing transformers 5.x for newer model support..." -ForegroundColor Cyan
$VenvT5Dir = Join-Path $env:USERPROFILE ".unsloth\studio\.venv_t5"
if (Test-Path $VenvT5Dir) { Remove-Item -Recurse -Force $VenvT5Dir }
New-Item -ItemType Directory -Path $VenvT5Dir -Force | Out-Null
$prevEAP_t5 = $ErrorActionPreference
$ErrorActionPreference = "Continue"
pip install --target $VenvT5Dir --no-deps "transformers==5.3.0" 2>&1 | Out-Null
if ($LASTEXITCODE -ne 0) {
Write-Host "[FAIL] Could not install transformers 5.3.0 into .venv_t5/" -ForegroundColor Red
$ErrorActionPreference = $prevEAP_t5
exit 1
}
pip install --target $VenvT5Dir --no-deps "huggingface_hub==1.3.0" 2>&1 | Out-Null
if ($LASTEXITCODE -ne 0) {
Write-Host "[FAIL] Could not install huggingface_hub 1.3.0 into .venv_t5/" -ForegroundColor Red
$ErrorActionPreference = $prevEAP_t5
exit 1
}
$ErrorActionPreference = $prevEAP_t5
Write-Host "[OK] Transformers 5.x pre-installed to .venv_t5/" -ForegroundColor Green
# ==========================================================================
# PHASE 3.5: Install OpenSSL dev (for HTTPS support in llama-server)
# ==========================================================================
# llama-server needs OpenSSL to download models from HuggingFace via -hf.
# ShiningLight.OpenSSL.Dev includes headers + libs that cmake can find.
$OpenSslAvailable = $false
# Check if OpenSSL dev is already installed (look for include dir)
$OpenSslRoots = @(
'C:\Program Files\OpenSSL-Win64',
'C:\Program Files\OpenSSL',
'C:\OpenSSL-Win64'
)
$OpenSslRoot = $null
foreach ($root in $OpenSslRoots) {
if (Test-Path (Join-Path $root 'include\openssl\ssl.h')) {
$OpenSslRoot = $root
break
}
}
if ($OpenSslRoot) {
$OpenSslAvailable = $true
Write-Host "[OK] OpenSSL dev found at $OpenSslRoot" -ForegroundColor Green
} else {
Write-Host ""
Write-Host "Installing OpenSSL dev (for HTTPS in llama-server)..." -ForegroundColor Cyan
$HasWinget = $null -ne (Get-Command winget -ErrorAction SilentlyContinue)
if ($HasWinget) {
winget install -e --id ShiningLight.OpenSSL.Dev --accept-package-agreements --accept-source-agreements
# Re-check after install
foreach ($root in $OpenSslRoots) {
if (Test-Path (Join-Path $root 'include\openssl\ssl.h')) {
$OpenSslRoot = $root
$OpenSslAvailable = $true
Write-Host "[OK] OpenSSL dev installed at $OpenSslRoot" -ForegroundColor Green
break
}
}
}
if (-not $OpenSslAvailable) {
Write-Host "[WARN] OpenSSL dev not available -- llama-server will be built without HTTPS" -ForegroundColor Yellow
}
}
# ==========================================================================
# PHASE 4: Build llama.cpp with CUDA for GGUF inference + export
# ==========================================================================
# Builds at ~/.unsloth/llama.cpp — a single shared location under the user's
# home directory. This is used by both the inference server and the GGUF
# export pipeline (unsloth-zoo).
# We build:
# - llama-server: for GGUF model inference (with HTTPS if OpenSSL available)
# - llama-quantize: for GGUF export quantization
# Prerequisites (git, cmake, VS Build Tools, CUDA Toolkit) already installed in Phase 1.
$UnslothHome = Join-Path $env:USERPROFILE ".unsloth"
if (-not (Test-Path $UnslothHome)) { New-Item -ItemType Directory -Force $UnslothHome | Out-Null }
$LlamaCppDir = Join-Path $UnslothHome "llama.cpp"
$BuildDir = Join-Path $LlamaCppDir "build"
$LlamaServerBin = Join-Path $BuildDir "bin\Release\llama-server.exe"
if (Test-Path $LlamaServerBin) {
Write-Host ""
Write-Host "[OK] llama-server already exists at $LlamaServerBin" -ForegroundColor Green
} else {
Write-Host ""
Write-Host "Building llama.cpp with CUDA support..." -ForegroundColor Cyan
Write-Host " This typically takes 5-10 minutes on first build." -ForegroundColor Gray
Write-Host ""
# Start total build timer
$totalSw = [System.Diagnostics.Stopwatch]::StartNew()
# Native commands (git, cmake) write to stderr even on success.
# With $ErrorActionPreference = "Stop" (set at top of script), PS 5.1
# converts stderr lines into terminating ErrorRecords, breaking output.
# Lower to "Continue" for the build section.
$prevEAP = $ErrorActionPreference
$ErrorActionPreference = "Continue"
$BuildOk = $true
$FailedStep = ""
# Re-sanitize CUDA_PATH_V* vars — Refresh-Environment (called during
# Node/Python installs above) may have repopulated conflicting versioned
# vars from the Machine registry.
$cudaPathVars2 = @([Environment]::GetEnvironmentVariables('Process').Keys | Where-Object { $_ -match '^CUDA_PATH_V' })
foreach ($v2 in $cudaPathVars2) {
[Environment]::SetEnvironmentVariable($v2, $null, 'Process')
}
$tkDirName2 = Split-Path $CudaToolkitRoot -Leaf
if ($tkDirName2 -match '^v(\d+)\.(\d+)') {
[Environment]::SetEnvironmentVariable("CUDA_PATH_V$($Matches[1])_$($Matches[2])", $CudaToolkitRoot, 'Process')
}
# Also re-assert CUDA_PATH and CudaToolkitDir in case they were overwritten
[Environment]::SetEnvironmentVariable('CUDA_PATH', $CudaToolkitRoot, 'Process')
[Environment]::SetEnvironmentVariable('CudaToolkitDir', "$CudaToolkitRoot\", 'Process')
# -- Step A: Clone or pull llama.cpp --
if (Test-Path (Join-Path $LlamaCppDir ".git")) {
Write-Host " llama.cpp repo already cloned, pulling latest..." -ForegroundColor Gray
git -C $LlamaCppDir pull 2>&1 | Out-Null
if ($LASTEXITCODE -ne 0) {
Write-Host " [WARN] git pull failed -- using existing source" -ForegroundColor Yellow
}
} else {
Write-Host " Cloning llama.cpp..." -ForegroundColor Gray
if (Test-Path $LlamaCppDir) { Remove-Item -Recurse -Force $LlamaCppDir }
git clone --depth 1 https://github.com/ggml-org/llama.cpp.git $LlamaCppDir 2>&1 | Out-Null
if ($LASTEXITCODE -ne 0) {
$BuildOk = $false
$FailedStep = "git clone"
}
}
# -- Step B: cmake configure (CUDA + Unsloth flags) --
if ($BuildOk) {
Write-Host ""
Write-Host "--- cmake configure ---" -ForegroundColor Cyan
$CmakeArgs = @(
'-S', $LlamaCppDir,
'-B', $BuildDir,
'-G', $CmakeGenerator,
'-Wno-dev'
)
# Tell cmake exactly where VS is (bypasses registry lookup)
if ($VsInstallPath) {
$CmakeArgs += "-DCMAKE_GENERATOR_INSTANCE=$VsInstallPath"
}
# Common flags
$CmakeArgs += '-DBUILD_SHARED_LIBS=OFF'
$CmakeArgs += '-DLLAMA_BUILD_TESTS=OFF'
$CmakeArgs += '-DLLAMA_BUILD_EXAMPLES=OFF'
$CmakeArgs += '-DLLAMA_BUILD_SERVER=ON'
$CmakeArgs += '-DGGML_NATIVE=ON'
# HTTPS support via OpenSSL
if ($OpenSslAvailable -and $OpenSslRoot) {
$CmakeArgs += "-DOPENSSL_ROOT_DIR=$OpenSslRoot"
$CmakeArgs += '-DLLAMA_OPENSSL=ON'
} else {
$CmakeArgs += '-DLLAMA_CURL=OFF'
}
$CmakeArgs += '-DCMAKE_EXE_LINKER_FLAGS=/NODEFAULTLIB:LIBCMT'
# CUDA flags (Unsloth-aligned)
$CmakeArgs += '-DGGML_CUDA=ON'
$CmakeArgs += "-DCUDAToolkit_ROOT=$CudaToolkitRoot"
$CmakeArgs += "-DCUDA_TOOLKIT_ROOT_DIR=$CudaToolkitRoot"
$CmakeArgs += "-DCMAKE_CUDA_COMPILER=$NvccPath"
$CmakeArgs += '-DGGML_CUDA_FA_ALL_QUANTS=ON'
$CmakeArgs += '-DGGML_CUDA_F16=OFF'
$CmakeArgs += '-DGGML_CUDA_GRAPHS=OFF'
$CmakeArgs += '-DGGML_CUDA_FORCE_CUBLAS=OFF'
$CmakeArgs += '-DGGML_CUDA_PEER_MAX_BATCH_SIZE=8192'
if ($CudaArch) {
# Validate nvcc actually supports this architecture
if (Test-NvccArchSupport -NvccExe $NvccPath -Arch $CudaArch) {
$CmakeArgs += "-DCMAKE_CUDA_ARCHITECTURES=$CudaArch"
} else {
# GPU arch too new for this toolkit — fall back to highest supported.
# PTX forward-compatibility will JIT-compile for the actual GPU at runtime.
$maxArch = Get-NvccMaxArch -NvccExe $NvccPath
if ($maxArch) {
$CmakeArgs += "-DCMAKE_CUDA_ARCHITECTURES=$maxArch"
Write-Host " [WARN] GPU is sm_$CudaArch but nvcc only supports up to sm_$maxArch" -ForegroundColor Yellow
Write-Host " Building with sm_$maxArch (PTX will JIT for your GPU at runtime)" -ForegroundColor Yellow
}
# else: omit flag entirely, let cmake pick defaults
}
}
cmake @CmakeArgs 2>&1 | Out-Null
if ($LASTEXITCODE -ne 0) {
$BuildOk = $false
$FailedStep = "cmake configure"
}
}
# -- Step C: Build llama-server --
$NumCpu = [Environment]::ProcessorCount
if ($NumCpu -lt 1) { $NumCpu = 4 }
if ($BuildOk) {
Write-Host ""
Write-Host "--- cmake build (llama-server) ---" -ForegroundColor Cyan
Write-Host " Parallel jobs: $NumCpu" -ForegroundColor Gray
Write-Host ""
cmake --build $BuildDir --config Release --target llama-server -j $NumCpu 2>&1 | Out-Null
if ($LASTEXITCODE -ne 0) {
$BuildOk = $false
$FailedStep = "cmake build (llama-server)"
}
}
# -- Step D: Build llama-quantize (optional, best-effort) --
if ($BuildOk) {
Write-Host ""
Write-Host "--- cmake build (llama-quantize) ---" -ForegroundColor Cyan
cmake --build $BuildDir --config Release --target llama-quantize -j $NumCpu 2>&1 | Out-Null
if ($LASTEXITCODE -ne 0) {
Write-Host " [WARN] llama-quantize build failed (GGUF export may be unavailable)" -ForegroundColor Yellow
}
}
# Restore ErrorActionPreference
$ErrorActionPreference = $prevEAP
# Stop timer
$totalSw.Stop()
$totalMin = [math]::Floor($totalSw.Elapsed.TotalMinutes)
$totalSec = [math]::Round($totalSw.Elapsed.TotalSeconds % 60, 1)
# -- Summary --
Write-Host ""
if ($BuildOk -and (Test-Path $LlamaServerBin)) {
Write-Host "[OK] llama-server built at $LlamaServerBin" -ForegroundColor Green
$QuantizeBin = Join-Path $BuildDir "bin\Release\llama-quantize.exe"
if (Test-Path $QuantizeBin) {
Write-Host "[OK] llama-quantize available for GGUF export" -ForegroundColor Green
}
Write-Host " Build time: ${totalMin}m ${totalSec}s" -ForegroundColor Cyan
} else {
# Check alternate paths (some cmake generators don't use Release subdir)
$altBin = Join-Path $BuildDir "bin\llama-server.exe"
if ($BuildOk -and (Test-Path $altBin)) {
Write-Host "[OK] llama-server built at $altBin" -ForegroundColor Green
Write-Host " Build time: ${totalMin}m ${totalSec}s" -ForegroundColor Cyan
} else {
Write-Host "[FAILED] llama.cpp build failed at step: $FailedStep (${totalMin}m ${totalSec}s)" -ForegroundColor Red
Write-Host " To retry: delete $LlamaCppDir and re-run setup." -ForegroundColor Yellow
exit 1
}
}
}
# ============================================
# Done
# ============================================
Write-Host ""
Write-Host "+===============================================+" -ForegroundColor Green
Write-Host "| Setup Complete! |" -ForegroundColor Green
Write-Host "| |" -ForegroundColor Green
Write-Host "| Launch with: |" -ForegroundColor Green
Write-Host "| unsloth studio -H 0.0.0.0 -p 8000 |" -ForegroundColor Green
Write-Host "| |" -ForegroundColor Green
Write-Host "+===============================================+" -ForegroundColor Green