unsloth/studio/setup.sh
Daniel Han 375350e0b6
Make the Studio installers (sh + ps1) resilient to transient uv download failures (#6281)
* Make Studio installer resilient to transient uv download failures

Updating an existing Studio install via install.sh could hard-fail and roll
back when a wheel download (torch, unsloth) hit a transient connection reset:

  x Failed to download unsloth==2026.6.6
  error decoding response body -> error reading a body from connection
  -> connection reset
  restoring previous environment after failed install...

Root cause: that error chain is a mid-stream HTTP/2 body read failure. uv did
not retry this class until 0.8.16 (astral-sh/uv#15675, h2 was shadowing the
underlying IO error), but the installer pinned UV_MIN_VERSION=0.7.22, so a stale
uv got zero retries and a single blip aborted the whole update under set -e.

Fix (installer only, backwards compatible, no change on success):
- Raise UV_MIN_VERSION to 0.8.16 so stale uv is upgraded to a version that
  retries HTTP/2 streaming body errors.
- Export UV_HTTP_RETRIES=5 and UV_HTTP_TIMEOUT=180 (override-preserving :=).
- Add run_install_cmd_retry (retry-with-backoff around run_install_cmd) and use
  it for the network-heavy uv pip install steps (torch, unsloth, unsloth-zoo
  from git, ROCm torch repair, no-torch runtime deps). Local editable overlays
  and venv creation are left to fail fast.

run_install_cmd_retry preserves the final exit code on permanent failure, so the
existing set -e rollback trap still fires.

* Apply the same transient-download resilience to the Windows installer

install.ps1 is the native-Windows installer and had the identical issue as
install.sh: it pinned $UvMinVersion=0.7.22 (below uv 0.8.16, which is where uv
started retrying HTTP/2 streaming body errors), set no UV_HTTP_* defaults, and
ran each 'uv pip install' once via Invoke-InstallCommand, so a single connection
reset aborted the update and triggered the Exit-InstallFailure rollback.

install.ps1:
- Raise $UvMinVersion to 0.8.16.
- Default $env:UV_HTTP_RETRIES=5 and $env:UV_HTTP_TIMEOUT=180 (preserving overrides).
- Add Invoke-InstallCommandRetry and use it for the network-heavy uv pip install
  steps (torch, unsloth, unsloth-zoo from git, ROCm torch, no-torch runtime deps).
  Local editable overlays and venv creation stay single-shot.

install.sh:
- Align UNSLOTH_INSTALL_RETRIES sanitization with the PowerShell version: a
  non-positive-integer value now falls back to the default of 3 instead of
  silently disabling retries (set =1 to disable). Keeps both installers identical.

* Adopt pre-marker Studio llama.cpp and sidecar dirs on update

After the uv retry fix, an update now reaches studio/setup.sh, whose
Studio-owned ownership guard rejects a llama.cpp or sidecar venv created by an
earlier install that predates the .unsloth-studio-owned marker:

  ERROR: .../llama.cpp already exists and is not marked as a Studio-owned
         llama.cpp install.

The marker and UNSLOTH_PREBUILT_INFO.json were introduced in the same commit,
so a directory from before that point carries neither signal and a legitimate
self-update fails for anyone who installed earlier (reported on issue #6274).

Fold a one-time adoption into _assert_studio_owned_or_absent (setup.sh) and
Assert-StudioOwnedOrAbsent (setup.ps1): when a custom-home directory lacks the
marker, backfill it and proceed only when there is positive evidence it belongs
to an established Studio home -- the directory carries UNSLOTH_PREBUILT_INFO.json,
or STUDIO_HOME already holds Studio's CLI shim or studio.conf from a prior run.
Both installers write the shim and studio.conf only after invoking setup, so a
fresh install into a dirty custom home (the case the guard protects) does not
have them yet and is still rejected. The venv marker is excluded because install
writes it before setup and so cannot tell a prior install from a fresh one.

* Review fixes: restrict llama.cpp adoption to dir-local evidence; restore install.sh +x

Addresses the PR review on the marker-migration change.

P1 - the adoption helper keyed on root-level Studio sentinels ($STUDIO_HOME/bin
/unsloth, share/studio.conf), so once a home was recognized every unmarked child
passed to the guard became adoptable, and an unrelated directory at a
Studio-managed path could be silently marked and overwritten. Base adoption on
evidence inside the directory instead:
  - UNSLOTH_PREBUILT_INFO.json, written by the prebuilt llama.cpp installer (the
    default path, in place well before the marker), or
  - a top-level llama-quantize symlink, written by source builds (a plain
    llama.cpp checkout keeps the binary under build/bin, not a root symlink).
A foreign llama.cpp now stays rejected even inside an established Studio home,
and sidecar venvs (no such fingerprint) stay subject to the strict guard; their
marker has been written since the guard was introduced, so a real custom install
already carries it.

P2 - restore the executable bit on install.sh; a stray mode change to 100644
would break ./install.sh --local on Unix.

On Windows the prebuilt metadata is the signal; source builds are git checkouts
indistinguishable from a user clone, so they are left to the strict guard.

* Bound UNSLOTH_INSTALL_RETRIES / _DELAY before numeric use

An oversized all-digit override (e.g. a fat-fingered
"99999999999999999999") passed the digit-only validation and then reached the
numeric comparison: POSIX `[ -ge ]` errored with "Illegal number" mid-loop and
could spin instead of falling back, and PowerShell's `[int]` cast threw an
Int32 overflow under $ErrorActionPreference = "Stop" before any install ran.

Sanitize with a length guard + range check (sh) and [int]::TryParse with bounds
(ps1), so out-of-range or oversized values fall back to the default. Bounds:
1..100 retries, 0..3600s base delay.

* Studio installers: scope llama.cpp adoption to prebuilt metadata; reject leading-zero retry delay

setup.sh: drop the top-level llama-quantize symlink as an ownership-adoption signal, leaving UNSLOTH_PREBUILT_INFO.json as the sole fingerprint. The shared ownership guard runs immediately before a destructive replace / rm -rf, and a bare root llama-quantize symlink is user-creatable (a user can keep their own llama.cpp build with such a convenience symlink at a custom UNSLOTH_STUDIO_HOME), so the old check could adopt and then delete a user directory. This matches the Windows installer, which already keeps markerless source builds strict. Pre-marker prebuilt installs still adopt via the metadata file, so the original update fix is preserved.

install.sh: reject leading-zero values for UNSLOTH_INSTALL_RETRY_DELAY. A value like 08 or 09 passed the range check but then hit the backoff doubling $((_ricr_delay * 2)), where a non-octal leading zero is a fatal arithmetic error mid-retry. The 0?* pattern routes such values to the default; bare 0 stays valid.

* Tighten the comments added in this PR

* Condense the comments in this PR
2026-06-16 03:48:01 -07:00

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#!/usr/bin/env bash
# SPDX-License-Identifier: AGPL-3.0-only
# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
REPO_ROOT="$(cd "$SCRIPT_DIR/.." && pwd)"
RULE=$(printf '\342\224\200%.0s' {1..52})
# ── Parse flags ──
# --local: install from the local repo checkout (overlays unsloth as editable
# and unsloth-zoo from git main). Mirrors install.sh --local for the Colab
# path that runs setup.sh directly without going through install.sh.
if [ "$#" -gt 0 ]; then
for _arg in "$@"; do
case "$_arg" in
--local)
export STUDIO_LOCAL_INSTALL=1
export STUDIO_LOCAL_REPO="$REPO_ROOT"
;;
esac
done
fi
# ── Maintainer-editable defaults ──────────────────────────────────────────
# Change these in the GitHub-hosted script so all users get updated defaults.
# User environment variables always override these baked-in values.
#
# _DEFAULT_LLAMA_PR_FORCE : PR number to build by default ("" = normal path)
# _DEFAULT_LLAMA_SOURCE : git clone URL for source builds
# _DEFAULT_LLAMA_TAG : llama.cpp ref to build ("latest" = newest release,
# "master" = bleeding-edge, "bNNNN" = specific tag)
# Prefer "latest" over "master" -- "master" bypasses
# the prebuilt resolver (no matching GitHub release),
# forces a source build, and causes HTTP 422 errors.
# Only use "master" temporarily when the latest release
# is missing support for a new model architecture.
# ──────────────────────────────────────────────────────────────────────────
_DEFAULT_LLAMA_PR_FORCE=""
_DEFAULT_LLAMA_SOURCE="https://github.com/ggml-org/llama.cpp"
_DEFAULT_LLAMA_TAG="latest"
_DEFAULT_LLAMA_FORCE_COMPILE_REF="master"
# ── Colors (same palette as startup_banner / install_python_stack) ──
if [ -n "${NO_COLOR:-}" ]; then
C_TITLE= C_DIM= C_OK= C_WARN= C_ERR= C_RST=
elif [ -t 1 ] || [ -n "${FORCE_COLOR:-}" ]; then
C_TITLE=$'\033[38;5;150m'
C_DIM=$'\033[38;5;245m'
C_OK=$'\033[38;5;108m'
C_WARN=$'\033[38;5;136m'
C_ERR=$'\033[91m'
C_RST=$'\033[0m'
else
C_TITLE= C_DIM= C_OK= C_WARN= C_ERR= C_RST=
fi
# ── Output helpers ──
# Consistent column layout: 2-space indent, 15-char label (fits llama-quantize), then value.
# Usage: step <label> <message> [color] (color defaults to C_OK)
# Usage: substep <message> [color] (color defaults to C_DIM)
step() { printf " ${C_DIM}%-15.15s${C_RST}${3:-$C_OK}%s${C_RST}\n" "$1" "$2"; }
substep() { printf " %-15s${2:-$C_DIM}%s${C_RST}\n" "" "$1"; }
_is_verbose() {
[ "${UNSLOTH_VERBOSE:-0}" = "1" ]
}
verbose_substep() {
if _is_verbose; then
substep "$1"
fi
return 0
}
run_maybe_quiet() {
if _is_verbose; then
"$@"
else
"$@" > /dev/null 2>&1
fi
}
# ── Helper: run command quietly, show output only on failure ──
_run_quiet() {
local on_fail=$1
local label=$2
shift 2
if _is_verbose; then
local exit_code
"$@" && return 0
exit_code=$?
step "error" "$label failed (exit code $exit_code)" "$C_ERR" >&2
if [ "$on_fail" = "exit" ]; then
exit "$exit_code"
else
return "$exit_code"
fi
fi
local tmplog
tmplog=$(mktemp) || {
step "error" "Failed to create temporary file" "$C_ERR" >&2
[ "$on_fail" = "exit" ] && exit 1 || return 1
}
if "$@" >"$tmplog" 2>&1; then
rm -f "$tmplog"
return 0
else
local exit_code=$?
step "error" "$label failed (exit code $exit_code)" "$C_ERR" >&2
cat "$tmplog" >&2
rm -f "$tmplog"
if [ "$on_fail" = "exit" ]; then
exit "$exit_code"
else
return "$exit_code"
fi
fi
}
run_quiet() {
_run_quiet exit "$@"
}
run_quiet_no_exit() {
_run_quiet return "$@"
}
_nvcc_meets_llama_minimum() {
# Echo "ok|too_old|unknown" then the parsed "X.Y" version, one per line.
# llama.cpp needs CUDA toolkit >= 12.4 (#4437; setup.ps1 aborts via #4517).
_nvcc_bin=$1
[ -n "$_nvcc_bin" ] || { echo "unknown"; echo ""; return 0; }
_raw=$("$_nvcc_bin" --version 2>/dev/null \
| sed -n 's/.*release \([0-9][0-9]*\.[0-9][0-9]*\).*/\1/p' \
| head -1)
if [ -z "$_raw" ]; then
echo "unknown"; echo ""; return 0
fi
_maj=${_raw%%.*}
_min_raw=${_raw#*.}
_min=${_min_raw%%.*}
if [ "$_maj" -lt 12 ] 2>/dev/null; then
echo "too_old"
elif [ "$_maj" -eq 12 ] && [ "$_min" -lt 4 ] 2>/dev/null; then
echo "too_old"
else
echo "ok"
fi
echo "$_raw"
}
# Run a GPU probe under a 10s timeout when `timeout` is available so a wedged
# NVIDIA driver cannot hang setup; fall back to a bare call where it is not.
_setup_run_smi() {
if command -v timeout >/dev/null 2>&1; then
timeout 10 "$@"
else
"$@"
fi
}
# Returns 0 when CUDA_VISIBLE_DEVICES is set to "" or "-1", i.e. every NVIDIA
# device is deliberately hidden (mixed AMD+NVIDIA hosts steering work to the
# AMD card). Unset means all devices visible. nvidia-smi ignores this env var,
# so the probes below cannot see the distinction on their own.
_setup_cvd_hides_nvidia() {
[ "${CUDA_VISIBLE_DEVICES+set}" = "set" ] || return 1
_setup_cvd_trim=$(printf '%s' "$CUDA_VISIBLE_DEVICES" | tr -d '[:space:]')
[ -z "$_setup_cvd_trim" ] || [ "$_setup_cvd_trim" = "-1" ]
}
# Returns 0 when an NVIDIA GPU is present and usable. Primary probe is
# `nvidia-smi -L` (timeout-bounded). Fallback is /proc/driver/nvidia/gpus,
# which the driver populates per GPU regardless of nvidia-smi state -- handles
# PATH gaps and driver init races. Mirrors install.sh _has_usable_nvidia_gpu
# (PR 6174) so setup routes the same way as the torch installer. A GPU hidden
# via CUDA_VISIBLE_DEVICES=""/-1 counts as NOT usable (matches
# install_llama_prebuilt.py has_usable_nvidia), so the AMD probes still run
# and a mixed host steered to its AMD card keeps the ROCm route.
_setup_has_usable_nvidia_gpu() {
if _setup_cvd_hides_nvidia; then
return 1
fi
_setup_nvsmi=""
if command -v nvidia-smi >/dev/null 2>&1; then
_setup_nvsmi="nvidia-smi"
elif [ -x "/usr/bin/nvidia-smi" ]; then
_setup_nvsmi="/usr/bin/nvidia-smi"
fi
if [ -n "$_setup_nvsmi" ]; then
if _setup_run_smi "$_setup_nvsmi" -L 2>/dev/null \
| awk '/^GPU[[:space:]]+[0-9]+:/{found=1} END{exit !found}'; then
return 0
fi
fi
if [ -d /proc/driver/nvidia/gpus ] && \
[ -n "$(ls -A /proc/driver/nvidia/gpus 2>/dev/null)" ]; then
return 0
fi
return 1
}
_cuda_driver_max_version() {
command -v nvidia-smi >/dev/null 2>&1 || return 0
_setup_run_smi nvidia-smi 2>/dev/null \
| sed -nE 's/.*CUDA( UMD)? Version:[[:space:]]*([0-9]+)\.([0-9]+).*/\2.\3/p' \
| head -1 || true
}
_cuda_version_gt() {
local _left=${1:-}
local _right=${2:-}
if ! [[ "$_left" =~ ^([0-9]+)\.([0-9]+)$ ]]; then
return 1
fi
local _left_major=$((10#${BASH_REMATCH[1]}))
local _left_minor=$((10#${BASH_REMATCH[2]}))
if ! [[ "$_right" =~ ^([0-9]+)\.([0-9]+)$ ]]; then
return 1
fi
local _right_major=$((10#${BASH_REMATCH[1]}))
local _right_minor=$((10#${BASH_REMATCH[2]}))
if [ "$_left_major" -gt "$_right_major" ]; then
return 0
fi
if [ "$_left_major" -eq "$_right_major" ] && [ "$_left_minor" -gt "$_right_minor" ]; then
return 0
fi
return 1
}
_cuda_toolkit_major_gt_driver() {
local _toolkit_version=${1:-}
local _driver_version=${2:-}
if ! [[ "$_toolkit_version" =~ ^([0-9]+)\.([0-9]+)$ ]]; then
return 1
fi
local _toolkit_major=$((10#${BASH_REMATCH[1]}))
if ! [[ "$_driver_version" =~ ^([0-9]+)\.([0-9]+)$ ]]; then
return 1
fi
local _driver_major=$((10#${BASH_REMATCH[1]}))
[ "$_toolkit_major" -gt "$_driver_major" ]
}
_cuda_nvcc_candidate_paths() {
if command -v nvcc >/dev/null 2>&1; then
command -v nvcc
fi
if [ -x /usr/local/cuda/bin/nvcc ]; then
printf '%s\n' "/usr/local/cuda/bin/nvcc"
fi
ls -d /usr/local/cuda-*/bin/nvcc 2>/dev/null | sort -V -r 2>/dev/null || true
}
_cuda_find_compatible_nvcc_for_driver() {
local _driver_version=$1
local _exclude_path=${2:-}
local _candidate _seen _check _status _version
local _best_path="" _best_version=""
_seen="
"
while IFS= read -r _candidate; do
[ -n "$_candidate" ] || continue
[ "$_candidate" != "$_exclude_path" ] || continue
[ -x "$_candidate" ] || continue
case "$_seen" in
*"
$_candidate
"*) continue ;;
esac
_seen="${_seen}${_candidate}
"
_check="$(_nvcc_meets_llama_minimum "$_candidate")"
_status="$(printf '%s\n' "$_check" | sed -n '1p')"
_version="$(printf '%s\n' "$_check" | sed -n '2p')"
[ "$_status" = "ok" ] || continue
[ -n "$_version" ] || continue
if _cuda_toolkit_major_gt_driver "$_version" "$_driver_version"; then
continue
fi
if [ -z "$_best_version" ] || _cuda_version_gt "$_version" "$_best_version"; then
_best_path="$_candidate"
_best_version="$_version"
fi
done <<EOF
$(_cuda_nvcc_candidate_paths)
EOF
[ -n "$_best_path" ] || return 1
printf '%s\n%s\n' "$_best_path" "$_best_version"
}
_print_cuda_driver_toolkit_mismatch() {
local _toolkit_version=$1
local _driver_version=$2
local _toolkit_major=${_toolkit_version%%.*}
local _driver_major=${_driver_version%%.*}
substep "CUDA Toolkit $_toolkit_version is a major-version mismatch: toolkit major $_toolkit_major exceeds driver CUDA major $_driver_major ($_driver_version)." "$C_WARN"
substep "Update the NVIDIA GPU driver to run CUDA Toolkit $_toolkit_version, or install a CUDA $_driver_major.x toolkit." "$C_WARN"
substep "Or let Studio use the prebuilt CUDA bundle; it does not need the local toolkit." "$C_WARN"
}
print_llama_error_log() {
local log_file=$1
[ -s "$log_file" ] || return 0
substep "llama.cpp diagnostics (last 120 lines):"
tail -n 120 "$log_file" | sed 's/^/ | /' >&2
}
installed_llama_prebuilt_release() {
local install_dir=${1:-}
local metadata_path="$install_dir/UNSLOTH_PREBUILT_INFO.json"
[ -f "$metadata_path" ] || return 0
python - "$metadata_path" <<'PY' 2>/dev/null || true
import json
import sys
from pathlib import Path
try:
payload = json.loads(Path(sys.argv[1]).read_text(encoding="utf-8"))
except Exception:
raise SystemExit(0)
if not isinstance(payload, dict):
raise SystemExit(0)
repo = str(payload.get("published_repo") or "").strip()
release_tag = str(payload.get("release_tag") or "").strip()
llama_tag = str(payload.get("tag") or "").strip()
source = str(payload.get("source") or "").strip()
binary_repo = str(payload.get("binary_repo") or "").strip()
binary_tag = str(payload.get("binary_release_tag") or "").strip()
if not repo or not release_tag:
raise SystemExit(0)
# For non-fork sources (e.g. ggml-org upstream prebuilts) the published_repo/
# release_tag refer to the unsloth source tree while the actual binaries came
# from a different repo. Show both so the log is unambiguous.
if source and source != "upstream" and binary_repo and binary_tag and binary_repo != repo:
message = f"installed release: {repo}@{release_tag} + {source}@{binary_tag}"
else:
message = f"installed release: {repo}@{release_tag}"
if llama_tag and llama_tag != release_tag:
message += f" (tag {llama_tag})"
print(message)
PY
}
print_installed_llama_prebuilt_release() {
local install_dir=${1:-}
local installed_release
installed_release="$(installed_llama_prebuilt_release "$install_dir")"
if [ -n "$installed_release" ]; then
substep "$installed_release"
fi
}
# ── Banner ──
echo ""
printf " ${C_TITLE}%s${C_RST}\n" "🦥 Unsloth Studio Setup"
printf " ${C_DIM}%s${C_RST}\n" "$RULE"
verbose_substep "verbose diagnostics enabled"
_LLAMA_ONLY="${UNSLOTH_STUDIO_LLAMA_ONLY:-0}"
if [ "$_LLAMA_ONLY" = "1" ]; then
substep "llama.cpp only mode"
fi
if [ "${STUDIO_LOCAL_INSTALL:-0}" = "1" ]; then
substep "local mode: overlaying $REPO_ROOT (editable) + unsloth-zoo from git main"
fi
# ── Clean up stale caches ──
rm -rf "$REPO_ROOT/unsloth_compiled_cache"
rm -rf "$SCRIPT_DIR/backend/unsloth_compiled_cache"
rm -rf "$SCRIPT_DIR/tmp/unsloth_compiled_cache"
# ── Detect Colab ──
IS_COLAB=false
keynames=$'\n'$(printenv | cut -d= -f1)
if [[ "$keynames" == *$'\nCOLAB_'* ]]; then
IS_COLAB=true
fi
# Resolve studio home + ownership marker before the llama-only split: the
# llama.cpp section needs STUDIO_HOME / _STUDIO_HOME_IS_CUSTOM, but
# UNSLOTH_STUDIO_LLAMA_ONLY=1 ('unsloth studio update') skips the base install.
# 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"
VENV_T5_510_DIR="$STUDIO_HOME/.venv_t5_510"
_STUDIO_OWNED_MARKER=".unsloth-studio-owned"
_LEGACY_STUDIO_HOME="$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
# Directory-local evidence that Studio created "$1", used to adopt a custom-home
# llama.cpp predating the .unsloth-studio-owned marker without weakening the guard.
# Only UNSLOTH_PREBUILT_INFO.json counts (written exclusively by the prebuilt
# installer). A top-level llama-quantize symlink is NOT trusted: a user may have
# their own build with one, and this runs right before a destructive rm -rf, so we
# match Windows and keep markerless source builds strict.
_studio_owned_adoptable() {
[ -f "$1/UNSLOTH_PREBUILT_INFO.json" ] && return 0
return 1
}
_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/$_STUDIO_OWNED_MARKER" ]; then
if _studio_owned_adoptable "$_aso_dir"; then
: > "$_aso_dir/$_STUDIO_OWNED_MARKER" 2>/dev/null || true
return 0
fi
echo "ERROR: $_aso_dir already exists and is not marked as a Studio-owned $_aso_label." >&2
echo " Move it aside or choose an empty UNSLOTH_STUDIO_HOME before re-running." >&2
exit 1
fi
}
if [ "$_LLAMA_ONLY" != "1" ]; then
# ── Detect whether frontend needs building ──
# Skip if SKIP_STUDIO_FRONTEND=1 (Tauri desktop app bundles its own frontend),
# or if dist/ exists AND no tracked input is newer than dist/.
if [ "${SKIP_STUDIO_FRONTEND:-0}" = "1" ]; then
_NEED_FRONTEND_BUILD=false
step "frontend" "bundled (Tauri)"
else
_NEED_FRONTEND_BUILD=true
if [ -d "$SCRIPT_DIR/frontend/dist" ]; then
_changed=$(find "$SCRIPT_DIR/frontend" -maxdepth 1 -type f \
! -name 'bun.lock' \
-newer "$SCRIPT_DIR/frontend/dist" -print -quit 2>/dev/null)
if [ -z "$_changed" ]; then
_changed=$(find "$SCRIPT_DIR/frontend/src" "$SCRIPT_DIR/frontend/public" \
-type f -newer "$SCRIPT_DIR/frontend/dist" -print -quit 2>/dev/null) || true
fi
[ -z "$_changed" ] && _NEED_FRONTEND_BUILD=false
fi
fi # end SKIP_STUDIO_FRONTEND guard
if [ "$_NEED_FRONTEND_BUILD" = false ]; then
step "frontend" "up to date"
verbose_substep "frontend dist is newer than source inputs"
else
# ── Node ──
NEED_NODE=true
if command -v node &>/dev/null && command -v npm &>/dev/null; then
NODE_MAJOR=$(node -v | sed 's/v//' | cut -d. -f1)
NODE_MINOR=$(node -v | sed 's/v//' | cut -d. -f2)
NPM_MAJOR=$(npm -v | cut -d. -f1)
# Vite 8 requires Node ^20.19.0 || >=22.12.0
NODE_OK=false
if [ "$NODE_MAJOR" -eq 20 ] && [ "$NODE_MINOR" -ge 19 ]; then NODE_OK=true; fi
if [ "$NODE_MAJOR" -eq 22 ] && [ "$NODE_MINOR" -ge 12 ]; then NODE_OK=true; fi
if [ "$NODE_MAJOR" -ge 23 ]; then NODE_OK=true; fi
if [ "$NODE_OK" = true ] && [ "$NPM_MAJOR" -ge 11 ]; then
NEED_NODE=false
else
if [ "$IS_COLAB" = true ] && [ "$NODE_OK" = true ]; then
# In Colab, just upgrade npm directly - nvm doesn't work well
if [ "$NPM_MAJOR" -lt 11 ]; then
substep "upgrading npm..."
run_maybe_quiet npm install -g npm@latest
fi
NEED_NODE=false
fi
fi
fi
if [ "$NEED_NODE" = true ]; then
substep "installing nvm..."
export NODE_OPTIONS=--dns-result-order=ipv4first
if _is_verbose; then
curl -so- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.1/install.sh | bash
else
curl -so- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.1/install.sh | bash > /dev/null 2>&1
fi
export NVM_DIR="$HOME/.nvm"
set +u
[ -s "$NVM_DIR/nvm.sh" ] && \. "$NVM_DIR/nvm.sh"
if [ -f "$HOME/.npmrc" ]; then
if grep -qE '^\s*(prefix|globalconfig)\s*=' "$HOME/.npmrc"; then
sed -i.bak '/^\s*\(prefix\|globalconfig\)\s*=/d' "$HOME/.npmrc"
fi
fi
substep "installing Node LTS..."
run_quiet "nvm install" nvm install --lts
if _is_verbose; then
nvm use --lts
else
nvm use --lts > /dev/null 2>&1
fi
set -u
NODE_MAJOR=$(node -v | sed 's/v//' | cut -d. -f1)
NPM_MAJOR=$(npm -v | cut -d. -f1)
if [ "$NODE_MAJOR" -lt 20 ]; then
step "node" "FAILED -- version must be >= 20 (got $(node -v))" "$C_ERR"
exit 1
fi
if [ "$NPM_MAJOR" -lt 11 ]; then
substep "upgrading npm..."
run_quiet "npm update" npm install -g npm@latest
fi
fi
step "node" "$(node -v) | npm $(npm -v)"
verbose_substep "node check: NEED_NODE=$NEED_NODE NODE_OK=${NODE_OK:-unknown} NPM_MAJOR=${NPM_MAJOR:-unknown}"
# ── Install bun (optional, faster package installs) ──
# Uses npm to install bun globally -- Node is already guaranteed above,
# avoids platform-specific installers, PATH issues, and admin requirements.
if ! command -v bun &>/dev/null; then
substep "installing bun..."
# --allow-scripts=bun: npm >=11.16 gates install scripts and bun's
# postinstall fetches its binary; without it the install is a broken stub.
if run_maybe_quiet npm install -g bun --allow-scripts=bun && command -v bun &>/dev/null; then
substep "bun installed ($(bun --version))"
else
substep "bun install skipped (npm will be used instead)"
fi
else
substep "bun already installed ($(bun --version))"
fi
# ── Build frontend ──
substep "building frontend..."
cd "$SCRIPT_DIR/frontend"
_HIDDEN_GITIGNORES=()
_dir="$(pwd)"
while [ "$_dir" != "/" ]; do
_dir="$(dirname "$_dir")"
if [ -f "$_dir/.gitignore" ] && grep -qx '\*' "$_dir/.gitignore" 2>/dev/null; then
mv "$_dir/.gitignore" "$_dir/.gitignore._twbuild"
_HIDDEN_GITIGNORES+=("$_dir/.gitignore")
fi
done
_restore_gitignores() {
for _gi in "${_HIDDEN_GITIGNORES[@]+"${_HIDDEN_GITIGNORES[@]}"}"; do
mv "${_gi}._twbuild" "$_gi" 2>/dev/null || true
done
}
trap _restore_gitignores EXIT
# Use bun for install if available (faster), fall back to npm.
# Build always uses npm (Node runtime -- avoids bun runtime issues on some platforms).
# NOTE: We intentionally avoid run_quiet for the bun install attempt because
# run_quiet calls exit on failure, which would kill the script before the npm
# fallback can run. Instead we capture output manually and only show it on failure.
#
# IMPORTANT: bun's package cache can become corrupt -- packages get stored
# with only metadata (package.json, README) but no actual content (bin/,
# lib/). When this happens bun install exits 0 but leaves binaries missing.
# We verify critical binaries after install. If missing, we clear the cache
# and retry once before falling back to npm.
_try_bun_install() {
local _log _exit_code=0
_log=$(mktemp)
bun install >"$_log" 2>&1 || _exit_code=$?
# bun may create .exe shims on Windows (Git Bash / MSYS2) instead of plain scripts
if [ "$_exit_code" -eq 0 ] \
&& { [ -x node_modules/.bin/tsc ] || [ -f node_modules/.bin/tsc.exe ] || [ -f node_modules/.bin/tsc.bunx ]; } \
&& { [ -x node_modules/.bin/vite ] || [ -f node_modules/.bin/vite.exe ] || [ -f node_modules/.bin/vite.bunx ]; }; then
rm -f "$_log"
return 0
fi
# Either bun install failed or it exited 0 but left packages missing
if [ "$_exit_code" -ne 0 ]; then
echo " bun install failed (exit code $_exit_code):"
else
echo " bun install exited 0 but critical binaries are missing:"
fi
sed 's/^/ | /' "$_log" >&2
rm -f "$_log"
rm -rf node_modules
return 1
}
_bun_install_ok=false
if command -v bun &>/dev/null; then
substep "using bun for package install (faster)"
if _try_bun_install; then
_bun_install_ok=true
else
# First attempt failed, likely due to corrupt cache entries.
# Clear the cache and retry once.
echo " Clearing bun cache and retrying..."
run_maybe_quiet bun pm cache rm || true
if _try_bun_install; then
_bun_install_ok=true
fi
fi
fi
if [ "$_bun_install_ok" = false ]; then
run_quiet_no_exit "npm install" npm install --no-fund --no-audit --loglevel=error
_npm_install_rc=$?
if [ "$_npm_install_rc" -ne 0 ]; then
exit "$_npm_install_rc"
fi
fi
run_quiet "npm run build" npm run build
_restore_gitignores
trap - EXIT
_MAX_CSS=$(find "$SCRIPT_DIR/frontend/dist/assets" -name '*.css' -exec wc -c {} + 2>/dev/null | sort -n | tail -1 | awk '{print $1}')
if [ -z "$_MAX_CSS" ]; then
step "frontend" "built (warning: no CSS emitted)" "$C_WARN"
elif [ "$_MAX_CSS" -lt 100000 ]; then
step "frontend" "built (warning: CSS may be truncated)" "$C_WARN"
else
step "frontend" "built"
fi
cd "$SCRIPT_DIR"
fi # end frontend build check
# ── oxc-validator runtime ──
if [ -d "$SCRIPT_DIR/backend/core/data_recipe/oxc-validator" ] && command -v npm &>/dev/null; then
cd "$SCRIPT_DIR/backend/core/data_recipe/oxc-validator"
run_quiet_no_exit "npm install (oxc validator runtime)" npm install --no-fund --no-audit --loglevel=error
_oxc_install_rc=$?
if [ "$_oxc_install_rc" -ne 0 ]; then
exit "$_oxc_install_rc"
fi
cd "$SCRIPT_DIR"
fi
# ── Python venv + deps ──
[ -d "$REPO_ROOT/.venv" ] && rm -rf "$REPO_ROOT/.venv"
[ -d "$REPO_ROOT/.venv_overlay" ] && rm -rf "$REPO_ROOT/.venv_overlay"
[ -d "$REPO_ROOT/.venv_t5" ] && rm -rf "$REPO_ROOT/.venv_t5"
[ -d "$REPO_ROOT/.venv_t5_530" ] && rm -rf "$REPO_ROOT/.venv_t5_530"
[ -d "$REPO_ROOT/.venv_t5_550" ] && rm -rf "$REPO_ROOT/.venv_t5_550"
# Note: do NOT delete $STUDIO_HOME/.venv here — install.sh handles migration
_COLAB_NO_VENV=false
if [ ! -x "$VENV_DIR/bin/python" ]; then
if [ "$IS_COLAB" = true ]; then
# On Colab there is no Studio venv -- install backend deps into system Python.
# Strip all version constraints so pip keeps Colab's pre-installed
# packages (huggingface-hub, datasets, transformers) and only pulls
# in genuinely missing ones (structlog, fastapi, etc.).
substep "Colab detected, installing Studio backend dependencies..."
_COLAB_REQS_TMP="$(mktemp)"
sed 's/[><=!~;].*//' "$SCRIPT_DIR/backend/requirements/studio.txt" \
| grep -v '^#' | grep -v '^$' > "$_COLAB_REQS_TMP"
if [ -s "$_COLAB_REQS_TMP" ]; then
if ! run_quiet_no_exit "install Colab backend deps" pip install -q -r "$_COLAB_REQS_TMP"; then
rm -f "$_COLAB_REQS_TMP"
step "python" "Colab backend dependency install failed" "$C_ERR"
exit 1
fi
else
step "python" "no Colab backend dependencies resolved from requirements file" "$C_WARN"
fi
rm -f "$_COLAB_REQS_TMP"
_COLAB_NO_VENV=true
else
step "python" "venv not found at $VENV_DIR" "$C_ERR"
substep "Run install.sh first to create the environment:"
substep "curl -fsSL https://unsloth.ai/install.sh | sh"
exit 1
fi
else
source "$VENV_DIR/bin/activate"
fi
install_python_stack() {
python "$SCRIPT_DIR/install_python_stack.py"
}
USE_UV=false
if command -v uv &>/dev/null; then
USE_UV=true
elif {
if _is_verbose; then
curl -LsSf https://astral.sh/uv/install.sh | sh
else
curl -LsSf https://astral.sh/uv/install.sh | sh > /dev/null 2>&1
fi
}; then
export PATH="$HOME/.local/bin:$PATH"
command -v uv &>/dev/null && USE_UV=true
fi
fast_install() {
if [ "$USE_UV" = true ]; then
uv pip install --python "$(command -v python)" "$@" && return 0
fi
python -m pip install "$@"
}
cd "$SCRIPT_DIR"
# On Colab without a venv, skip venv-dependent Python deps sections but
# continue to llama.cpp install so GGUF inference is available.
if [ "$_COLAB_NO_VENV" = true ]; then
step "python" "backend deps installed into system Python"
substep "continuing to llama.cpp install for GGUF inference support"
fi
# ── Check if Python deps need updating ──
# Compare installed package version against PyPI latest.
# Skip all Python dependency work if versions match (fast update path).
# On Colab (no venv), skip this version check (it needs $VENV_DIR/bin/python)
# but still run install_python_stack below (it uses sys.executable).
_SKIP_PYTHON_DEPS=false
_SKIP_VERSION_CHECK=false
if [ "$_COLAB_NO_VENV" = true ]; then
_SKIP_VERSION_CHECK=true
fi
_PKG_NAME="${STUDIO_PACKAGE_NAME:-unsloth}"
if [ "$_SKIP_VERSION_CHECK" != true ] && [ "${SKIP_STUDIO_BASE:-0}" != "1" ] && [ "${STUDIO_LOCAL_INSTALL:-0}" != "1" ]; then
# Only check when NOT called from install.sh (which just installed the package)
INSTALLED_VER=$("$VENV_DIR/bin/python" -c "
import sys; from importlib.metadata import version
print(version(sys.argv[1]))
" "$_PKG_NAME" 2>/dev/null || echo "")
LATEST_VER=$(curl -fsSL --max-time 5 "https://pypi.org/pypi/$_PKG_NAME/json" 2>/dev/null \
| "$VENV_DIR/bin/python" -c "import sys,json; print(json.load(sys.stdin)['info']['version'])" 2>/dev/null \
|| echo "")
if [ -n "$INSTALLED_VER" ] && [ -n "$LATEST_VER" ] && [ "$INSTALLED_VER" = "$LATEST_VER" ]; then
step "python" "$_PKG_NAME $INSTALLED_VER is up to date"
_SKIP_PYTHON_DEPS=true
elif [ -n "$INSTALLED_VER" ] && [ -n "$LATEST_VER" ]; then
substep "$_PKG_NAME $INSTALLED_VER -> $LATEST_VER available, updating..."
elif [ -z "$LATEST_VER" ]; then
substep "could not reach PyPI, updating to be safe..."
fi
fi
if [ "$_SKIP_PYTHON_DEPS" = false ]; then
install_python_stack
else
step "python" "dependencies up to date"
verbose_substep "python deps check: installed=$_PKG_NAME@${INSTALLED_VER:-unknown} latest=${LATEST_VER:-unknown}"
fi
# ── 6b. Pre-install transformers 5.x into .venv_t5_530/, .venv_t5_550/, and .venv_t5_510/ ──
# Models like GLM-4.7-Flash, Qwen3 MoE need transformers>=5.3.0.
# Gemma 4 models need transformers>=5.5.0; Gemma 4 Unified needs 5.10.x.
# Pre-install into separate directories to avoid runtime pip overhead.
# The training subprocess prepends the appropriate dir to sys.path.
_target_has_pkg_version() {
_thpv_dir="$1"
_thpv_pkg="$2"
_thpv_version="$3"
[ -d "$_thpv_dir" ] || return 1
_thpv_pkg_norm=$(printf '%s' "$_thpv_pkg" | tr '-' '_')
for _thpv_metadata in \
"$_thpv_dir"/"$_thpv_pkg_norm"-*.dist-info/METADATA \
"$_thpv_dir"/"$_thpv_pkg"-*.dist-info/METADATA
do
[ -f "$_thpv_metadata" ] || continue
grep -qx "Version: $_thpv_version" "$_thpv_metadata" && return 0
done
return 1
}
_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 "$STUDIO_HOME/.venv_t5"
_NEED_T5_INSTALL=true
fi
[ ! -d "$VENV_T5_530_DIR" ] && _NEED_T5_INSTALL=true
[ ! -d "$VENV_T5_550_DIR" ] && _NEED_T5_INSTALL=true
[ ! -d "$VENV_T5_510_DIR" ] && _NEED_T5_INSTALL=true
_target_has_pkg_version "$VENV_T5_530_DIR" "transformers" "5.3.0" || _NEED_T5_INSTALL=true
_target_has_pkg_version "$VENV_T5_550_DIR" "transformers" "5.5.0" || _NEED_T5_INSTALL=true
_target_has_pkg_version "$VENV_T5_510_DIR" "transformers" "5.10.2" || _NEED_T5_INSTALL=true
# Also reinstall when python deps were updated (packages may need rebuild)
[ "$_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"
run_quiet "install tiktoken for t5_550" fast_install --target "$VENV_T5_550_DIR" "tiktoken"
step "transformers" "5.5.0 pre-installed"
_assert_studio_owned_or_absent "$VENV_T5_510_DIR" "transformers 5.10 sidecar venv"
[ -d "$VENV_T5_510_DIR" ] && rm -rf "$VENV_T5_510_DIR"
mkdir -p "$VENV_T5_510_DIR"
: > "$VENV_T5_510_DIR/$_STUDIO_OWNED_MARKER" 2>/dev/null || true
run_quiet "install transformers 5.10.2" fast_install --target "$VENV_T5_510_DIR" --no-deps "transformers==5.10.2"
run_quiet "install huggingface_hub for t5_510" fast_install --target "$VENV_T5_510_DIR" --no-deps "huggingface_hub==1.8.0"
run_quiet "install hf_xet for t5_510" fast_install --target "$VENV_T5_510_DIR" --no-deps "hf_xet==1.4.2"
run_quiet "install tiktoken for t5_510" fast_install --target "$VENV_T5_510_DIR" "tiktoken"
step "transformers" "5.10.2 pre-installed"
fi
fi
# ── GPU detection summary (mirrors setup.ps1 step "gpu" block) ──
# WSL2 ROCDXG: the system rocminfo enumerates the GPU over /dev/dxg only when
# HSA_ENABLE_DXG_DETECTION=1 (a no-op on bare metal), and /opt/rocm/bin can be
# off PATH outside login shells (the profile.d drop-in). Seed both before the
# probes or a ROCDXG WSL host is misdetected as CPU-only.
export HSA_ENABLE_DXG_DETECTION="${HSA_ENABLE_DXG_DETECTION:-1}"
if ! command -v rocminfo >/dev/null 2>&1 && [ -x /opt/rocm/bin/rocminfo ]; then
PATH="$PATH:/opt/rocm/bin"
fi
_setup_amd_detected=false
_setup_nvidia_usable=false
_setup_gfx_all=""
_setup_mkt=""
# NVIDIA priority: classify NVIDIA first and skip the AMD probes entirely on
# a usable-NVIDIA host (mirrors _has_rocm_gpu in install_python_stack.py).
# This also keeps a wedged rocminfo/amd-smi from hanging setup before the
# host is classified; the AMD probes themselves run under _setup_run_smi.
if _setup_has_usable_nvidia_gpu; then
_setup_nvidia_usable=true
fi
if [ "$_setup_nvidia_usable" != true ]; then
if command -v rocminfo >/dev/null 2>&1 && \
_setup_run_smi rocminfo 2>/dev/null | awk '/Name:[[:space:]]*gfx[1-9][0-9]/{found=1} END{exit !found}'; then
_setup_amd_detected=true
_setup_gfx_all=$(_setup_run_smi rocminfo 2>/dev/null | grep -oE 'gfx[1-9][0-9a-z]{2,3}' || true)
_setup_mkt=$(_setup_run_smi rocminfo 2>/dev/null | awk -F': ' \
'/Marketing Name:/{gsub(/^[[:space:]]+|[[:space:]]+$/,"", $2); if($2){print $2; exit}}' || true)
elif command -v amd-smi >/dev/null 2>&1 && \
_setup_run_smi amd-smi list 2>/dev/null | awk '/^GPU[[:space:]]*[:\[][[:space:]]*[0-9]/{ found=1 } END{ exit !found }'; then
_setup_amd_detected=true
_setup_gfx_all=$(_setup_run_smi amd-smi list 2>/dev/null | grep -oE 'gfx[1-9][0-9a-z]{2,3}' || true)
[ -z "$_setup_gfx_all" ] && \
_setup_gfx_all=$(_setup_run_smi amd-smi static --asic 2>/dev/null | grep -oE 'gfx[1-9][0-9a-z]{2,3}' || true)
_setup_mkt=$(_setup_run_smi amd-smi static --asic 2>/dev/null | awk -F'[:|]' \
'/[Mm]arket.?[Nn]ame/{gsub(/^[[:space:]]+|[[:space:]]+$/,"", $2); if($2){print $2; exit}}' || true)
elif [ -e /dev/kfd ] && \
awk 'FNR==1{ gpu=0; amd=0 } /gpu_id/{ gpu=($2+0>0) } /vendor_id/{ amd=($2==4098) } \
gpu && amd { found=1 } END{ exit !found }' \
/sys/class/kfd/kfd/topology/nodes/*/properties 2>/dev/null; then
# KFD sysfs fallback, AMD vendor_id 4098 only (mirrors install.sh
# _has_amd_rocm_gpu): covers AMD hosts where rocminfo/amd-smi are
# missing but the kernel exposes the GPU, so the source-build gate
# below does not drop them to a CPU llama.cpp build. No gfx arch is
# available from this path; name-based inference handles it.
_setup_amd_detected=true
fi
fi
if [ "$_setup_nvidia_usable" = true ]; then
step "gpu" "NVIDIA GPU detected"
elif [ "$_setup_amd_detected" = true ]; then
_setup_vis="${HIP_VISIBLE_DEVICES:-${ROCR_VISIBLE_DEVICES:-}}"
_setup_vis_idx=0
if [ -n "$_setup_vis" ] && [ "$_setup_vis" != "-1" ]; then
_setup_first="${_setup_vis%%,*}"
case "$_setup_first" in ''|*[!0-9]*) ;; *) _setup_vis_idx=$_setup_first ;; esac
fi
_setup_gfx=$(printf '%s\n' "$_setup_gfx_all" | awk -v idx="$_setup_vis_idx" \
'NF && !seen[$0]++ { a[n++]=$0 } END { if(idx>=n) idx=0; if(n>0) print a[idx] }')
# UNSLOTH_ROCM_GFX_ARCH env override (mirrors setup.ps1)
if [ -n "${UNSLOTH_ROCM_GFX_ARCH:-}" ]; then
_setup_gfx="${UNSLOTH_ROCM_GFX_ARCH}"
substep "gfx arch from UNSLOTH_ROCM_GFX_ARCH env override: $_setup_gfx"
# Name-based arch inference when tools don't report gfx (mirrors setup.ps1 nameArchTable)
elif [ -z "$_setup_gfx" ] && [ -n "$_setup_mkt" ]; then
# Kept in sync with the table in install.sh (and the PS nameArchTable).
# gfx1102 matched BEFORE gfx1100 so the spaceless "RX 7700S" lands on
# gfx1102 (bash case has no negative lookahead like the PS tables).
case "$_setup_mkt" in
*"9070 XT"*|*9080*) _setup_gfx="gfx1201" ;; # RDNA 4
*9070*|*9060*) _setup_gfx="gfx1200" ;; # RDNA 4
*"8060S"*|*"8050S"*|*"8040S"*|*"Strix Halo"*|*"Ryzen AI Max"*|*"AI Max"*) _setup_gfx="gfx1151" ;; # RDNA 3.5 (Strix Halo: Radeon 8060S/8050S/8040S iGPU, Ryzen AI Max+)
*"890M"*|*"880M"*|*"860M"*|*"840M"*|*"Strix Point"*|*"Krackan"*|*"HX 37"*|*"AI 9 HX"*|*"AI 9 36"*|*"AI 7 35"*|*"AI 5 34"*|*"AI 7 PRO 35"*|*"AI 5 33"*) _setup_gfx="gfx1150" ;; # RDNA 3.5 (Strix/Krackan Point: Radeon 890M/880M iGPU, Ryzen AI 9 HX 370/375)
*"RX 7600"*|*"RX 7700S"*|*"RX 7650"*|*"PRO W7600"*|*"PRO W7500"*|*"PRO V710"*) _setup_gfx="gfx1102" ;; # RDNA 3 (Navi 33)
*"RX 7900"*|*"RX 7800"*|*"RX 7700"*|*"PRO W7900"*|*"PRO W7800"*|*"PRO W7700"*) _setup_gfx="gfx1100" ;; # RDNA 3 desktop / workstation (Navi 31)
*"780M"*|*"760M"*|*"740M"*|*"Phoenix"*|*"Hawk Point"*|*"Z1 Extreme"*|*"Z2 Extreme"*) _setup_gfx="gfx1103" ;; # RDNA 3 iGPU (Phoenix / Hawk Point)
*"RX 6900"*|*"RX 6800"*|*"RX 6750"*|*"RX 6700"*|*"PRO W6800"*|*"PRO W6900"*) _setup_gfx="gfx1030" ;; # RDNA 2 (Navi 21)
*"RX 6650"*|*"RX 6600"*|*"PRO W6600"*|*"PRO W6650"*) _setup_gfx="gfx1032" ;; # RDNA 2 (Navi 23)
*"RX 6500"*|*"RX 6400"*|*"RX 6300"*|*"PRO W6400"*|*"PRO W6500"*) _setup_gfx="gfx1034" ;; # RDNA 2 (Navi 24)
esac
if [ -n "$_setup_gfx" ]; then
substep "gfx arch inferred from GPU name: $_setup_gfx"
substep "Tip: set UNSLOTH_ROCM_GFX_ARCH=$_setup_gfx to skip inference next time"
fi
fi
# ROCm version via hipconfig, then amd-smi
_setup_rocm_ver=""
if command -v hipconfig >/dev/null 2>&1; then
_setup_rocm_ver=$(hipconfig --version 2>/dev/null | awk 'NR==1 && /^[0-9]/{print; exit}' || true)
fi
if [ -z "$_setup_rocm_ver" ] && command -v amd-smi >/dev/null 2>&1; then
_setup_rocm_ver=$(amd-smi version 2>/dev/null | awk -F'ROCm version: ' \
'NF>1{gsub(/[[:space:]]/,"", $2); print $2; exit}' || true)
fi
if [ -n "$_setup_gfx" ]; then
step "gpu" "AMD ROCm ($_setup_gfx)"
else
step "gpu" "AMD ROCm"
fi
_setup_rocm_root="${ROCM_PATH:-${HIP_PATH:-/opt/rocm}}"
substep "ROCm: $_setup_rocm_root"
[ -n "$_setup_rocm_ver" ] && substep "hipconfig: $_setup_rocm_ver"
[ -n "$_setup_mkt" ] && [ -n "$_setup_gfx" ] && substep "GPU: $_setup_mkt"
else
step "gpu" "none (chat-only / GGUF)" "$C_WARN"
substep "Training and GPU inference require an NVIDIA or AMD ROCm GPU."
fi
# ── 7. Prefer prebuilt llama.cpp bundles before any source build path ──
# 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="$LLAMA_CPP_DIR/build/bin/llama-server"
_NEED_LLAMA_SOURCE_BUILD=false
_LLAMA_CPP_DEGRADED=false
_LLAMA_FORCE_COMPILE="${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.
# The fork ships CUDA (Linux x64/arm64, Windows), ROCm (Linux/Windows) and
# macOS bundles. Only the plain CPU/Vulkan bundles still come from ggml-org, so
# CPU-only Linux (x86_64 and arm64) routes there; GPU Linux, Windows and macOS
# use unslothai.
_LINUX_HAS_GPU=false
# Route to the fork only for a usable GPU. NVIDIA counts only when a device is
# actually enumerated and not hidden via CUDA_VISIBLE_DEVICES=""/-1
# (_setup_nvidia_usable, from _setup_has_usable_nvidia_gpu above) -- mirroring
# install_llama_prebuilt.py's has_usable_nvidia. Mere nvidia-smi presence
# (CPU-only CUDA-toolkit containers, broken drivers) or a hidden GPU therefore
# takes the ggml-org CPU prebuilt instead of a slow source build. AMD is
# deliberately left on tooling presence, not usability: an unusable NVIDIA host
# has a good CPU prebuilt to fall back to, whereas tightening AMD would regress
# ROCm hosts exposing only hipconfig/hipinfo into an unnecessary CPU build.
if [ "$_setup_nvidia_usable" = true ]; then
_LINUX_HAS_GPU=true
else
for _GPU_TOOL in rocminfo amd-smi hipconfig hipinfo; do
if command -v "$_GPU_TOOL" >/dev/null 2>&1; then
_LINUX_HAS_GPU=true
break
fi
done
fi
# UNSLOTH_ROCM_GFX_ARCH may be set on a host where no probe fired, so the override
# nested in the AMD-detected branch above never ran and _setup_gfx is still empty.
# Honour it here so the routing guard below and the --rocm-gfx forwarding both see
# it (install_llama_prebuilt.py reads the same env var as the --rocm-gfx default).
if [ "$_setup_nvidia_usable" != true ] && [ -z "${_setup_gfx:-}" ] && [ -n "${UNSLOTH_ROCM_GFX_ARCH:-}" ]; then
_setup_gfx="${UNSLOTH_ROCM_GFX_ARCH}"
fi
# A resolved/forwarded gfx arch (UNSLOTH_ROCM_GFX_ARCH) means an AMD GPU even when
# no ROCm tooling is on PATH; route it to the fork so the per-gfx prebuilt is
# picked instead of ggml-org / a source build.
if [ "$_LINUX_HAS_GPU" = false ] && [ -n "${_setup_gfx:-}" ]; then
_LINUX_HAS_GPU=true
fi
if [ "$_HOST_SYSTEM" = "Linux" ] \
&& [ "$_HOST_MACHINE" = "x86_64" ] \
&& [ "$_LINUX_HAS_GPU" = false ]; then
_HELPER_RELEASE_REPO="ggml-org/llama.cpp"
elif [ "$_HOST_SYSTEM" = "Linux" ] \
&& { [ "$_HOST_MACHINE" = "aarch64" ] || [ "$_HOST_MACHINE" = "arm64" ]; } \
&& [ "$_LINUX_HAS_GPU" = false ]; then
# CPU-only Linux ARM64 (Ampere Altra, Raspberry Pi 5, GitHub
# `ubuntu-24.04-arm`, CPU-only Jetson rescue mode, ...). The fork ships no
# arm64 CPU bundle, so without this branch the prebuilt resolver returns 0
# attempts and the installer falls back to a source build. ggml-org ships
# llama-bNNNN-bin-ubuntu-arm64.tar.gz from at least b9072 onward.
_HELPER_RELEASE_REPO="ggml-org/llama.cpp"
else
# GPU Linux (x64 CUDA/ROCm, arm64 CUDA), Windows (CUDA/ROCm), and macOS.
_HELPER_RELEASE_REPO="unslothai/llama.cpp"
fi
unset _GPU_TOOL
_LLAMA_PR="${UNSLOTH_LLAMA_PR:-}"
_SKIP_PREBUILT_INSTALL=false
_LLAMA_PR_FORCE="${UNSLOTH_LLAMA_PR_FORCE:-${_DEFAULT_LLAMA_PR_FORCE}}"
_LLAMA_SOURCE="${_DEFAULT_LLAMA_SOURCE}"
_LLAMA_SOURCE="${_LLAMA_SOURCE%.git}" # normalize: strip trailing .git
_RESOLVED_SOURCE_URL="$_LLAMA_SOURCE"
_RESOLVED_SOURCE_REF="$_REQUESTED_LLAMA_TAG"
_RESOLVED_SOURCE_REF_KIND="tag"
_RESOLVED_LLAMA_TAG="$_REQUESTED_LLAMA_TAG"
if [ "$_LLAMA_FORCE_COMPILE" = "1" ]; then
_NEED_LLAMA_SOURCE_BUILD=true
_SKIP_PREBUILT_INSTALL=true
fi
# Baked-in PR_FORCE promotes to _LLAMA_PR when user hasn't set one.
if [ -z "$_LLAMA_PR" ] && [ -n "$_LLAMA_PR_FORCE" ] && \
[[ "$_LLAMA_PR_FORCE" =~ ^[0-9]+$ ]] && [ "$_LLAMA_PR_FORCE" -gt 0 ]; then
_LLAMA_PR="$_LLAMA_PR_FORCE"
step "llama.cpp" "baked-in PR_FORCE=$_LLAMA_PR_FORCE" "$C_WARN"
fi
if [ -n "$_LLAMA_PR" ]; then
if ! [[ "$_LLAMA_PR" =~ ^[0-9]+$ ]] || [ "$_LLAMA_PR" -le 0 ]; then
step "llama.cpp" "UNSLOTH_LLAMA_PR=$_LLAMA_PR is not a valid PR number" "$C_ERR"
exit 1
fi
step "llama.cpp" "UNSLOTH_LLAMA_PR=$_LLAMA_PR -- will build from PR head" "$C_WARN"
_RESOLVED_LLAMA_TAG="pr-$_LLAMA_PR"
_RESOLVED_SOURCE_URL="$_LLAMA_SOURCE"
_RESOLVED_SOURCE_REF="pr-$_LLAMA_PR"
_RESOLVED_SOURCE_REF_KIND="pull"
_NEED_LLAMA_SOURCE_BUILD=true
_SKIP_PREBUILT_INSTALL=true
fi
verbose_substep "requested llama.cpp tag: $_REQUESTED_LLAMA_TAG (repo: $_HELPER_RELEASE_REPO)"
if [ "$_LLAMA_FORCE_COMPILE" = "1" ]; then
step "llama.cpp" "UNSLOTH_LLAMA_FORCE_COMPILE=1 -- skipping prebuilt" "$C_WARN"
_NEED_LLAMA_SOURCE_BUILD=true
elif [ "${_SKIP_PREBUILT_INSTALL:-false}" = true ]; then
substep "prebuilt install skipped -- falling back to source build"
else
substep "installing prebuilt llama.cpp..."
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 "$LLAMA_CPP_DIR"
--llama-tag "$_REQUESTED_LLAMA_TAG"
--published-repo "$_HELPER_RELEASE_REPO"
)
if [ -n "${UNSLOTH_LLAMA_RELEASE_TAG:-}" ]; then
_PREBUILT_CMD+=(--published-release-tag "$UNSLOTH_LLAMA_RELEASE_TAG")
fi
# Forward the gfx arch resolved above so the per-gfx ROCm prebuilt is picked
# even when the installer's own probe cannot report it (amd-smi-only hosts,
# name-inferred arch). Implies --has-rocm on the installer side.
if [ -n "${_setup_gfx:-}" ]; then
_PREBUILT_CMD+=(--rocm-gfx "$_setup_gfx")
elif [ "$_setup_amd_detected" = true ]; then
# AMD was detected but gfx resolution failed; tell the installer ROCm is
# present so it can still attempt a prebuilt. Mirrors setup.ps1 behaviour.
_PREBUILT_CMD+=(--has-rocm)
fi
_PREBUILT_LOG="$(mktemp)"
set +e
if _is_verbose; then
"${_PREBUILT_CMD[@]}" 2>&1 | tee "$_PREBUILT_LOG"
_PREBUILT_STATUS=${PIPESTATUS[0]}
else
"${_PREBUILT_CMD[@]}" >"$_PREBUILT_LOG" 2>&1
_PREBUILT_STATUS=$?
fi
set -e
if [ "$_PREBUILT_STATUS" -eq 0 ]; then
if grep -Fq "already matches" "$_PREBUILT_LOG"; then
step "llama.cpp" "prebuilt up to date and validated"
else
step "llama.cpp" "prebuilt installed and validated"
fi
if [ "$_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"
elif [ "$_PREBUILT_STATUS" -eq 3 ]; then
step "llama.cpp" "install blocked by active llama.cpp process" "$C_WARN"
print_llama_error_log "$_PREBUILT_LOG"
rm -f "$_PREBUILT_LOG"
if [ -d "$LLAMA_CPP_DIR" ]; then
substep "existing install was restored"
fi
substep "close Studio or other llama.cpp users and retry"
exit 3
else
step "llama.cpp" "prebuilt install failed (continuing)" "$C_WARN"
print_llama_error_log "$_PREBUILT_LOG"
rm -f "$_PREBUILT_LOG"
if [ -d "$LLAMA_CPP_DIR" ]; then
substep "prebuilt update failed; existing install restored"
fi
substep "falling back to source build"
_NEED_LLAMA_SOURCE_BUILD=true
fi
fi
# Source-built llama.cpp installs do not have the prebuilt metadata used above
# for exact release matching. Reuse a complete local source build unless the
# caller explicitly requested a rebuild or a PR-specific llama.cpp checkout.
if [ "$_NEED_LLAMA_SOURCE_BUILD" = true ] && \
[ "$_LLAMA_FORCE_COMPILE" != "1" ] && \
[ -z "$_LLAMA_PR" ] && \
[ -x "$LLAMA_CPP_DIR/build/bin/llama-server" ] && \
[ -x "$LLAMA_CPP_DIR/build/bin/llama-quantize" ]; then
step "llama.cpp" "existing source build found; skipping rebuild"
ln -sf build/bin/llama-quantize "$LLAMA_CPP_DIR/llama-quantize"
if [ "$_STUDIO_HOME_IS_CUSTOM" = true ]; then
: > "$LLAMA_CPP_DIR/$_STUDIO_OWNED_MARKER" 2>/dev/null || true
fi
_NEED_LLAMA_SOURCE_BUILD=false
fi
# ── 8. WSL: pre-install GGUF build dependencies for fallback source builds ──
# On WSL, sudo requires a password and can't be entered during GGUF export
# (runs in a non-interactive subprocess). Install build deps here instead.
if [ "$_NEED_LLAMA_SOURCE_BUILD" = true ] && grep -qi microsoft /proc/version 2>/dev/null; then
_GGUF_DEPS="pciutils build-essential cmake curl git libcurl4-openssl-dev"
apt-get update -y >/dev/null 2>&1 || true
apt-get install -y $_GGUF_DEPS >/dev/null 2>&1 || true
_STILL_MISSING=""
for _pkg in $_GGUF_DEPS; do
case "$_pkg" in
build-essential) command -v gcc >/dev/null 2>&1 || _STILL_MISSING="$_STILL_MISSING $_pkg" ;;
pciutils) command -v lspci >/dev/null 2>&1 || _STILL_MISSING="$_STILL_MISSING $_pkg" ;;
libcurl4-openssl-dev) command -v curl-config >/dev/null 2>&1 || _STILL_MISSING="$_STILL_MISSING $_pkg" ;;
*) command -v "$_pkg" >/dev/null 2>&1 || _STILL_MISSING="$_STILL_MISSING $_pkg" ;;
esac
done
_STILL_MISSING=$(echo "$_STILL_MISSING" | sed 's/^ *//')
if [ -z "$_STILL_MISSING" ]; then
step "gguf deps" "installed"
elif command -v sudo >/dev/null 2>&1; then
step "gguf deps" "sudo required for: $_STILL_MISSING" "$C_WARN"
printf " %-15s" ""
printf "accept? [Y/n] "
if [ -r /dev/tty ]; then
read -r REPLY </dev/tty || REPLY="y"
else
REPLY="y"
fi
case "$REPLY" in
[nN]*)
substep "skipped -- run manually:"
substep "sudo apt-get install -y $_STILL_MISSING"
_SKIP_GGUF_BUILD=true
;;
*)
sudo apt-get update -y
sudo apt-get install -y $_STILL_MISSING
step "gguf deps" "installed"
;;
esac
else
step "gguf deps" "missing (no sudo) -- install manually:" "$C_WARN"
substep "apt-get install -y $_STILL_MISSING"
_SKIP_GGUF_BUILD=true
fi
fi
# ── 9. Build llama.cpp binaries for GGUF inference + export when prebuilt install fails ──
# Builds at ~/.unsloth/llama.cpp — a single shared location under the user's
# home directory. This is used by both the inference server and the GGUF
# export pipeline (unsloth-zoo).
# - llama-server: for GGUF model inference
# - llama-quantize: for GGUF export quantization (symlinked to root for check_llama_cpp())
if [ "$_NEED_LLAMA_SOURCE_BUILD" = false ]; then
:
elif [ "${_SKIP_GGUF_BUILD:-}" = true ]; then
step "llama.cpp" "skipped (missing build deps)" "$C_WARN"
[ -f "$LLAMA_SERVER_BIN" ] || _LLAMA_CPP_DEGRADED=true
else
{
if ! command -v cmake &>/dev/null; then
step "llama.cpp" "skipped (cmake not found)" "$C_WARN"
[ -f "$LLAMA_SERVER_BIN" ] || _LLAMA_CPP_DEGRADED=true
elif ! command -v git &>/dev/null; then
step "llama.cpp" "skipped (git not found)" "$C_WARN"
[ -f "$LLAMA_SERVER_BIN" ] || _LLAMA_CPP_DEGRADED=true
else
if [ -z "$_LLAMA_PR" ]; then
_RESOLVED_SOURCE_URL="$_LLAMA_SOURCE"
if [ "$_LLAMA_FORCE_COMPILE" = "1" ]; then
if [ "$_REQUESTED_LLAMA_TAG" = "latest" ]; then
_RESOLVED_SOURCE_REF="${UNSLOTH_LLAMA_FORCE_COMPILE_REF:-${_DEFAULT_LLAMA_FORCE_COMPILE_REF}}"
_RESOLVED_SOURCE_REF_KIND="branch"
else
_RESOLVED_SOURCE_REF="$_REQUESTED_LLAMA_TAG"
_RESOLVED_SOURCE_REF_KIND="tag"
fi
elif [ "$_REQUESTED_LLAMA_TAG" = "latest" ]; then
_RESOLVE_TAG_ARGS=(--resolve-llama-tag latest --published-repo "ggml-org/llama.cpp" --output-format json)
set +e
_RESOLVE_TAG_JSON="$(python "$SCRIPT_DIR/install_llama_prebuilt.py" "${_RESOLVE_TAG_ARGS[@]}" 2>/dev/null)"
_RESOLVE_TAG_STATUS=$?
set -e
if [ "$_RESOLVE_TAG_STATUS" -eq 0 ] && [ -n "${_RESOLVE_TAG_JSON:-}" ]; then
_RESOLVED_SOURCE_REF="$(
printf '%s' "$_RESOLVE_TAG_JSON" | python -c 'import json,sys; print(json.load(sys.stdin).get("llama_tag",""))' 2>/dev/null || true
)"
else
_RESOLVED_SOURCE_REF=""
fi
if [ -z "$_RESOLVED_SOURCE_REF" ]; then
_RESOLVED_SOURCE_REF="latest"
fi
_RESOLVED_SOURCE_REF_KIND="tag"
else
_RESOLVED_SOURCE_REF="$_REQUESTED_LLAMA_TAG"
_RESOLVED_SOURCE_REF_KIND="tag"
fi
if [ -z "$_RESOLVED_SOURCE_URL" ]; then
_RESOLVED_SOURCE_URL="$_LLAMA_SOURCE"
fi
if [ -z "$_RESOLVED_SOURCE_REF" ]; then
_RESOLVED_SOURCE_REF="$_REQUESTED_LLAMA_TAG"
fi
fi
verbose_substep "source build repo: $_RESOLVED_SOURCE_URL"
verbose_substep "source build ref: ${_RESOLVED_SOURCE_REF:-latest} (${_RESOLVED_SOURCE_REF_KIND})"
BUILD_OK=true
mkdir -p "$(dirname "$LLAMA_CPP_DIR")"
_BUILD_TMP="${LLAMA_CPP_DIR}.build.$$"
rm -rf "$_BUILD_TMP"
if [ -n "$_LLAMA_PR" ]; then
run_quiet_no_exit "clone llama.cpp" \
git clone --depth 1 "${_LLAMA_SOURCE}.git" "$_BUILD_TMP" || BUILD_OK=false
if [ "$BUILD_OK" = true ]; then
run_quiet_no_exit "fetch PR #$_LLAMA_PR" \
git -C "$_BUILD_TMP" fetch --depth 1 origin "pull/$_LLAMA_PR/head:pr-$_LLAMA_PR" || BUILD_OK=false
fi
if [ "$BUILD_OK" = true ]; then
run_quiet_no_exit "checkout PR #$_LLAMA_PR" \
git -C "$_BUILD_TMP" checkout "pr-$_LLAMA_PR" || BUILD_OK=false
fi
elif [ "$_RESOLVED_SOURCE_REF_KIND" = "pull" ] && [ -n "$_RESOLVED_SOURCE_REF" ]; then
run_quiet_no_exit "clone llama.cpp" \
git clone --depth 1 "${_RESOLVED_SOURCE_URL}.git" "$_BUILD_TMP" || BUILD_OK=false
if [ "$BUILD_OK" = true ]; then
run_quiet_no_exit "fetch source PR ref" \
git -C "$_BUILD_TMP" fetch --depth 1 origin "$_RESOLVED_SOURCE_REF" || BUILD_OK=false
fi
if [ "$BUILD_OK" = true ]; then
run_quiet_no_exit "checkout source PR ref" \
git -C "$_BUILD_TMP" checkout -B unsloth-llama-build FETCH_HEAD || BUILD_OK=false
fi
elif [ "$_RESOLVED_SOURCE_REF_KIND" = "commit" ] && [ -n "$_RESOLVED_SOURCE_REF" ]; then
run_quiet_no_exit "clone llama.cpp" \
git clone --depth 1 "${_RESOLVED_SOURCE_URL}.git" "$_BUILD_TMP" || BUILD_OK=false
if [ "$BUILD_OK" = true ]; then
run_quiet_no_exit "fetch source commit" \
git -C "$_BUILD_TMP" fetch --depth 1 origin "$_RESOLVED_SOURCE_REF" || BUILD_OK=false
fi
if [ "$BUILD_OK" = true ]; then
run_quiet_no_exit "checkout source commit" \
git -C "$_BUILD_TMP" checkout -B unsloth-llama-build FETCH_HEAD || BUILD_OK=false
fi
else
_CLONE_ARGS=(git clone --depth 1)
if [ "$_RESOLVED_SOURCE_REF" != "latest" ] && [ -n "$_RESOLVED_SOURCE_REF" ]; then
_CLONE_ARGS+=(--branch "$_RESOLVED_SOURCE_REF")
fi
_CLONE_ARGS+=("${_RESOLVED_SOURCE_URL}.git" "$_BUILD_TMP")
run_quiet_no_exit "clone llama.cpp" \
"${_CLONE_ARGS[@]}" || BUILD_OK=false
fi
if [ "$BUILD_OK" = true ]; then
# Set Release explicitly (llama.cpp only defaults to it on non-MSVC/Xcode).
CMAKE_ARGS="-DCMAKE_BUILD_TYPE=Release -DLLAMA_BUILD_TESTS=OFF -DLLAMA_BUILD_EXAMPLES=OFF -DLLAMA_BUILD_SERVER=ON -DGGML_NATIVE=ON"
_TRY_METAL_CPU_FALLBACK=false
_HOST_SYSTEM="$(uname -s 2>/dev/null || true)"
_HOST_MACHINE="$(uname -m 2>/dev/null || true)"
_IS_MACOS_ARM64=false
if [ "$_HOST_SYSTEM" = "Darwin" ] && { [ "$_HOST_MACHINE" = "arm64" ] || [ "$_HOST_MACHINE" = "aarch64" ]; }; then
_IS_MACOS_ARM64=true
fi
# macOS: pin a low deployment target so the source build loads on
# older macOS too (else a macOS 26 host stamps minos=26). Set before
# CPU_FALLBACK_CMAKE_ARGS copies CMAKE_ARGS so both paths inherit it.
if [ "$_HOST_SYSTEM" = "Darwin" ]; then
_MACOS_DEPLOYMENT_TARGET="${UNSLOTH_MACOS_DEPLOYMENT_TARGET:-13.3}"
CMAKE_ARGS="$CMAKE_ARGS -DCMAKE_OSX_DEPLOYMENT_TARGET=${_MACOS_DEPLOYMENT_TARGET}"
export MACOSX_DEPLOYMENT_TARGET="${_MACOS_DEPLOYMENT_TARGET}"
fi
if command -v ccache &>/dev/null; then
CMAKE_ARGS="$CMAKE_ARGS -DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CXX_COMPILER_LAUNCHER=ccache -DCMAKE_CUDA_COMPILER_LAUNCHER=ccache"
fi
CPU_FALLBACK_CMAKE_ARGS="$CMAKE_ARGS"
GPU_BACKEND=""
NVCC_PATH=""
# Gate the CUDA toolkit search on an actually-usable NVIDIA GPU
# (_setup_nvidia_usable, computed in the GPU summary block above;
# already false when hidden via CUDA_VISIBLE_DEVICES=""/-1).
# A CUDA toolkit alone (CPU-only build container, leftover packages)
# is not proof of a GPU: building with -DGGML_CUDA=ON there yields a
# binary that fails at runtime, so fall through to the CPU build.
if [ "$_setup_nvidia_usable" = true ]; then
if command -v nvcc &>/dev/null; then
NVCC_PATH="$(command -v nvcc)"
GPU_BACKEND="cuda"
elif [ -x /usr/local/cuda/bin/nvcc ]; then
NVCC_PATH="/usr/local/cuda/bin/nvcc"
export PATH="/usr/local/cuda/bin:$PATH"
GPU_BACKEND="cuda"
elif ls /usr/local/cuda-*/bin/nvcc &>/dev/null 2>&1; then
# Pick the newest cuda-XX.X directory
NVCC_PATH="$(ls -d /usr/local/cuda-*/bin/nvcc 2>/dev/null | sort -V | tail -1)"
export PATH="$(dirname "$NVCC_PATH"):$PATH"
GPU_BACKEND="cuda"
fi
fi
# Check for ROCm (AMD) only if CUDA was not already selected, and
# only when an AMD GPU was actually detected (_setup_amd_detected).
# hipcc presence alone (HIP SDK, no GPU) must not select a HIP build.
# NVIDIA-usable hosts never build HIP (defense in depth: the AMD
# probes above are already skipped when NVIDIA is usable).
ROCM_HIPCC=""
if [ -z "$GPU_BACKEND" ] && [ "$_setup_nvidia_usable" != true ] && [ "$_setup_amd_detected" = true ]; then
if command -v hipcc &>/dev/null; then
ROCM_HIPCC="$(command -v hipcc)"
GPU_BACKEND="rocm"
elif [ -x /opt/rocm/bin/hipcc ]; then
ROCM_HIPCC="/opt/rocm/bin/hipcc"
export PATH="/opt/rocm/bin:$PATH"
GPU_BACKEND="rocm"
elif ls /opt/rocm-*/bin/hipcc &>/dev/null 2>&1; then
ROCM_HIPCC="$(ls -d /opt/rocm-*/bin/hipcc 2>/dev/null | sort -V | tail -1)"
export PATH="$(dirname "$ROCM_HIPCC"):$PATH"
GPU_BACKEND="rocm"
fi
fi
_BUILD_DESC="building"
if [ "$_IS_MACOS_ARM64" = true ]; then
# Metal takes precedence on Apple Silicon (CUDA/ROCm not functional on macOS)
_BUILD_DESC="building (Metal)"
CMAKE_ARGS="$CMAKE_ARGS -DGGML_METAL=ON -DGGML_METAL_EMBED_LIBRARY=ON -DGGML_METAL_USE_BF16=ON -DCMAKE_INSTALL_RPATH=@loader_path -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON"
CPU_FALLBACK_CMAKE_ARGS="$CPU_FALLBACK_CMAKE_ARGS -DGGML_METAL=OFF"
_TRY_METAL_CPU_FALLBACK=true
elif [ -n "$NVCC_PATH" ]; then
# Returns "ok|too_old|unknown\nX.Y" on stdout.
_NVCC_CHECK="$(_nvcc_meets_llama_minimum "$NVCC_PATH")"
_NVCC_STATUS="$(printf '%s\n' "$_NVCC_CHECK" | sed -n '1p')"
_NVCC_VER="$(printf '%s\n' "$_NVCC_CHECK" | sed -n '2p')"
if [ "$_NVCC_STATUS" = "too_old" ]; then
substep "CUDA toolkit $_NVCC_VER is below llama.cpp minimum (12.4)." "$C_ERR"
substep "install a newer CUDA toolkit: https://developer.nvidia.com/cuda-toolkit-archive" "$C_WARN"
substep "falling back to CPU llama.cpp build for this run." "$C_WARN"
NVCC_PATH=""
GPU_BACKEND=""
_BUILD_DESC="building (CPU, CUDA toolkit < 12.4)"
else
_DRIVER_MAX_CUDA="$(_cuda_driver_max_version)"
_CUDA_TOOLKIT_ALLOWED=true
if [ -n "$_NVCC_VER" ] && [ -n "$_DRIVER_MAX_CUDA" ] && \
_cuda_toolkit_major_gt_driver "$_NVCC_VER" "$_DRIVER_MAX_CUDA"; then
_BLOCKED_NVCC_VER="$_NVCC_VER"
if _ALT_NVCC_CHECK="$(_cuda_find_compatible_nvcc_for_driver "$_DRIVER_MAX_CUDA" "$NVCC_PATH")"; then
NVCC_PATH="$(printf '%s\n' "$_ALT_NVCC_CHECK" | sed -n '1p')"
_NVCC_VER="$(printf '%s\n' "$_ALT_NVCC_CHECK" | sed -n '2p')"
GPU_BACKEND="cuda"
export PATH="$(dirname "$NVCC_PATH"):$PATH"
substep "CUDA Toolkit $_BLOCKED_NVCC_VER is a major-version mismatch with driver CUDA $_DRIVER_MAX_CUDA; using compatible CUDA Toolkit $_NVCC_VER at $NVCC_PATH." "$C_WARN"
else
_print_cuda_driver_toolkit_mismatch "$_NVCC_VER" "$_DRIVER_MAX_CUDA"
substep "falling back to CPU llama.cpp build for this run." "$C_WARN"
NVCC_PATH=""
GPU_BACKEND=""
_BUILD_DESC="building (CPU, CUDA toolkit major > driver)"
_CUDA_TOOLKIT_ALLOWED=false
fi
fi
if [ "$_CUDA_TOOLKIT_ALLOWED" = true ]; then
CMAKE_ARGS="$CMAKE_ARGS -DGGML_CUDA=ON"
CUDA_ARCHS=""
if command -v nvidia-smi &>/dev/null; then
_raw_caps=$(_setup_run_smi nvidia-smi --query-gpu=compute_cap --format=csv,noheader 2>/dev/null || true)
while IFS= read -r _cap; do
_cap=$(echo "$_cap" | tr -d '[:space:]')
if [[ "$_cap" =~ ^([0-9]+)\.([0-9]+)$ ]]; then
_arch="${BASH_REMATCH[1]}${BASH_REMATCH[2]}"
case ";$CUDA_ARCHS;" in
*";$_arch;"*) ;;
*) CUDA_ARCHS="${CUDA_ARCHS:+$CUDA_ARCHS;}$_arch" ;;
esac
fi
done <<< "$_raw_caps"
fi
if [ -n "$CUDA_ARCHS" ]; then
CMAKE_ARGS="$CMAKE_ARGS -DCMAKE_CUDA_ARCHITECTURES=${CUDA_ARCHS}"
_BUILD_DESC="building (CUDA, sm_${CUDA_ARCHS//;/+sm_})"
else
_BUILD_DESC="building (CUDA)"
fi
CMAKE_ARGS="$CMAKE_ARGS -DCMAKE_CUDA_FLAGS=--threads=0"
# Allow a host gcc/clang newer than nvcc's whitelist (else a fresh
# toolkit aborts with "unsupported GNU version"); via env to avoid word-splitting.
export NVCC_PREPEND_FLAGS="${NVCC_PREPEND_FLAGS:+$NVCC_PREPEND_FLAGS }-allow-unsupported-compiler"
fi
fi
elif [ "$GPU_BACKEND" = "rocm" ]; then
# Resolve hipcc symlinks to find the real ROCm root
_HIPCC_REAL="$(readlink -f "$ROCM_HIPCC" 2>/dev/null || printf '%s' "$ROCM_HIPCC")"
ROCM_ROOT=""
if command -v hipconfig &>/dev/null; then
ROCM_ROOT="$(hipconfig -R 2>/dev/null || true)"
fi
if [ -z "$ROCM_ROOT" ]; then
ROCM_ROOT="$(cd "$(dirname "$_HIPCC_REAL")/.." 2>/dev/null && pwd)"
fi
_BUILD_DESC="building (ROCm)"
CMAKE_ARGS="$CMAKE_ARGS -DGGML_HIP=ON"
# ROCm 7.x ships clang-20 which on Ubuntu 24.04+ defaults to the
# highest-numbered gcc lib dir (/usr/lib/gcc/x86_64-linux-gnu/14/)
# which contains runtime objects but NOT C++ headers, causing:
# fatal error: 'cstdlib' file not found
# Find the newest gcc install dir that actually has both the
# runtime dir AND /usr/include/c++/<ver> headers, then pass it
# to clang via --gcc-install-dir so HIP builds succeed.
_GCC_INSTALL_DIR=""
_gcc_pm="$(gcc -print-multiarch 2>/dev/null)"
case "$_gcc_pm" in
*-linux-gnu*) _GCC_MULTIARCH="$_gcc_pm" ;;
*) _GCC_MULTIARCH="$(uname -m)-linux-gnu" ;;
esac
for _gcc_ver in 14 13 12 11; do
if [ -d "/usr/lib/gcc/$_GCC_MULTIARCH/$_gcc_ver/include" ] && \
[ -d "/usr/include/c++/$_gcc_ver" ]; then
_GCC_INSTALL_DIR="/usr/lib/gcc/$_GCC_MULTIARCH/$_gcc_ver"
break
fi
done
if [ -n "$_GCC_INSTALL_DIR" ]; then
CMAKE_ARGS="$CMAKE_ARGS -DCMAKE_HIP_FLAGS=--gcc-install-dir=\"$_GCC_INSTALL_DIR\""
substep "ROCm HIP gcc install dir: $_GCC_INSTALL_DIR"
fi
export ROCM_PATH="$ROCM_ROOT"
export HIP_PATH="$ROCM_ROOT"
# Use upstream-recommended HIP compiler (not legacy hipcc-as-CXX)
if command -v hipconfig &>/dev/null; then
_HIP_CLANG_DIR="$(hipconfig -l 2>/dev/null || true)"
[ -n "$_HIP_CLANG_DIR" ] && export HIPCXX="$_HIP_CLANG_DIR/clang"
fi
# Detect AMD GPU architecture (gfx target)
GPU_TARGETS=""
if command -v rocminfo &>/dev/null; then
_gfx_list=$(rocminfo 2>/dev/null | grep -oE 'gfx[0-9]{2,4}[a-z]?' | sort -u || true)
_valid_gfx=""
for _gfx in $_gfx_list; do
if [[ "$_gfx" =~ ^gfx[0-9]{2,4}[a-z]?$ ]]; then
# Drop bare family-level targets (gfx10, gfx11, gfx12, ...)
# when a specific sibling is present in the same list.
# rocminfo on ROCm 6.1+ emits both the specific GPU and
# the LLVM generic family line (e.g. gfx1100 alongside
# gfx11-generic), and the outer grep above captures the
# bare family prefix from the generic line. Passing that
# bare prefix to -DGPU_TARGETS breaks the HIP/llama.cpp
# build because clang only accepts specific gfxNNN ids.
# No real AMD GPU has a 2-digit gfx id, so this filter
# can only ever drop family prefixes, never real targets.
if [[ "$_gfx" =~ ^gfx[0-9]{2}$ ]] \
&& echo "$_gfx_list" | grep -qE "^${_gfx}[0-9][0-9a-z]?$"; then
continue
fi
_valid_gfx="${_valid_gfx}${_valid_gfx:+;}$_gfx"
fi
done
[ -n "$_valid_gfx" ] && GPU_TARGETS="$_valid_gfx"
fi
if [ -n "$GPU_TARGETS" ]; then
CMAKE_ARGS="$CMAKE_ARGS -DGPU_TARGETS=${GPU_TARGETS}"
_BUILD_DESC="building (ROCm, ${GPU_TARGETS//;/+})"
fi
elif [ -d /usr/local/cuda ] || _setup_run_smi nvidia-smi &>/dev/null; then
_BUILD_DESC="building (CPU, CUDA driver found but nvcc missing)"
elif [ -d /opt/rocm ] || command -v rocm-smi &>/dev/null; then
_BUILD_DESC="building (CPU, ROCm driver found but hipcc missing)"
else
_BUILD_DESC="building (CPU)"
fi
substep "$_BUILD_DESC..."
NCPU=$(nproc 2>/dev/null || sysctl -n hw.ncpu 2>/dev/null || echo 4)
CMAKE_GENERATOR_ARGS=""
if command -v ninja &>/dev/null; then
CMAKE_GENERATOR_ARGS="-G Ninja"
fi
# GPU label for the CPU-fallback message: Metal, else GPU_BACKEND
# (cuda/rocm). Empty on a bare CPU build (nothing to fall back from).
_gpu_fallback_label() {
if [ "$_TRY_METAL_CPU_FALLBACK" = true ]; then
echo "Metal"
elif [ -n "$GPU_BACKEND" ]; then
printf '%s' "$GPU_BACKEND" | tr '[:lower:]' '[:upper:]'
fi
}
if ! run_quiet_no_exit "cmake llama.cpp" cmake $CMAKE_GENERATOR_ARGS -S "$_BUILD_TMP" -B "$_BUILD_TMP/build" $CMAKE_ARGS; then
_FB_LABEL="$(_gpu_fallback_label)"
if [ -n "$_FB_LABEL" ]; then
_TRY_METAL_CPU_FALLBACK=false
substep "$_FB_LABEL configure failed; retrying CPU build..." "$C_WARN"
rm -rf "$_BUILD_TMP/build"
if run_quiet_no_exit "cmake llama.cpp (cpu fallback)" cmake $CMAKE_GENERATOR_ARGS -S "$_BUILD_TMP" -B "$_BUILD_TMP/build" $CPU_FALLBACK_CMAKE_ARGS; then
_BUILD_DESC="building (CPU fallback after $_FB_LABEL configure failed)"
# Now configured for CPU; clear GPU_BACKEND so a later
# build-step failure won't re-enter fallback on this config.
GPU_BACKEND=""
else
BUILD_OK=false
fi
else
BUILD_OK=false
fi
fi
fi
if [ "$BUILD_OK" = true ]; then
if ! run_quiet_no_exit "build llama-server" cmake --build "$_BUILD_TMP/build" --config Release --target llama-server -j"$NCPU"; then
_FB_LABEL="$(_gpu_fallback_label)"
if [ -n "$_FB_LABEL" ]; then
_TRY_METAL_CPU_FALLBACK=false
substep "$_FB_LABEL build failed; retrying CPU build..." "$C_WARN"
rm -rf "$_BUILD_TMP/build"
if run_quiet_no_exit "cmake llama.cpp (cpu fallback)" cmake $CMAKE_GENERATOR_ARGS -S "$_BUILD_TMP" -B "$_BUILD_TMP/build" $CPU_FALLBACK_CMAKE_ARGS; then
_BUILD_DESC="building (CPU fallback after $_FB_LABEL build failed)"
GPU_BACKEND=""
run_quiet_no_exit "build llama-server (cpu fallback)" cmake --build "$_BUILD_TMP/build" --config Release --target llama-server -j"$NCPU" || BUILD_OK=false
else
BUILD_OK=false
fi
else
BUILD_OK=false
fi
fi
fi
if [ "$BUILD_OK" = true ]; then
run_quiet_no_exit "build llama-quantize" cmake --build "$_BUILD_TMP/build" --config Release --target llama-quantize -j"$NCPU" || true
# Best-effort: the DiffusionGemma visual server (an example target, present
# on llama.cpp PR #24423). No-op when the diffusion example is not configured.
run_quiet_no_exit "build diffusion visual server" cmake --build "$_BUILD_TMP/build" --config Release --target llama-diffusion-gemma-visual-server -j"$NCPU" || true
fi
# 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 "$QUANTIZE_BIN" ]; then
ln -sf build/bin/llama-quantize "$LLAMA_CPP_DIR/llama-quantize"
fi
# DiffusionGemma visual server, if it was built (PR #24423): link next to
# llama-server so Studio serves DiffusionGemma GGUFs without DG_VISUAL_BIN.
if [ -f "$LLAMA_CPP_DIR/build/bin/llama-diffusion-gemma-visual-server" ]; then
ln -sf build/bin/llama-diffusion-gemma-visual-server "$LLAMA_CPP_DIR/llama-diffusion-gemma-visual-server"
fi
else
rm -rf "$_BUILD_TMP"
fi
if [ "$BUILD_OK" = true ] && [ -f "$LLAMA_SERVER_BIN" ]; then
step "llama.cpp" "built"
[ -f "$LLAMA_CPP_DIR/llama-quantize" ] && step "llama-quantize" "built"
elif [ "$BUILD_OK" = true ]; then
step "llama.cpp" "binary not found after build" "$C_WARN"
_LLAMA_CPP_DEGRADED=true
else
step "llama.cpp" "build failed" "$C_ERR"
[ -f "$LLAMA_SERVER_BIN" ] || _LLAMA_CPP_DEGRADED=true
fi
fi
}
fi # end _SKIP_GGUF_BUILD check
# ── arm64 Linux GPU: CPU prebuilt as a last resort ──
# arm64 Linux with a GPU has no CUDA prebuilt anywhere (the unslothai fork is
# x64 only; ggml-org ships no Linux CUDA build), so it source-builds for the
# GPU above. If that produced no binary, install ggml-org's arm64 CPU prebuilt
# instead of leaving the host without llama.cpp.
if [ "$_LLAMA_CPP_DEGRADED" = true ] \
&& [ "$_HOST_SYSTEM" = "Linux" ] \
&& { [ "$_HOST_MACHINE" = "aarch64" ] || [ "$_HOST_MACHINE" = "arm64" ]; }; then
substep "GPU source build unavailable; trying ggml-org arm64 CPU prebuilt..."
_ARM64_CPU_CMD=(
python "$SCRIPT_DIR/install_llama_prebuilt.py"
--install-dir "$LLAMA_CPP_DIR"
--llama-tag "$_REQUESTED_LLAMA_TAG"
--published-repo "ggml-org/llama.cpp"
--cpu-fallback
)
# Trust the installer's exit code: it validates the server before exiting 0,
# the same signal the primary prebuilt path above relies on.
if run_quiet_no_exit "arm64 CPU prebuilt" "${_ARM64_CPU_CMD[@]}"; then
step "llama.cpp" "arm64 CPU prebuilt installed (GPU build unavailable)" "$C_WARN"
_LLAMA_CPP_DEGRADED=false
print_installed_llama_prebuilt_release "$LLAMA_CPP_DIR"
fi
fi
# ── Footer ──
if [ "$_LLAMA_ONLY" = "1" ]; then
echo ""
printf " ${C_DIM}%s${C_RST}\n" "$RULE"
if [ "$_LLAMA_CPP_DEGRADED" = true ]; then
printf " ${C_WARN}%s${C_RST}\n" "llama.cpp update finished (limited: llama.cpp unavailable)"
else
printf " ${C_TITLE}%s${C_RST}\n" "llama.cpp update finished"
fi
printf " ${C_DIM}%s${C_RST}\n" "$RULE"
elif [ "$IS_COLAB" = true ]; then
echo ""
printf " ${C_DIM}%s${C_RST}\n" "$RULE"
if [ "$_LLAMA_CPP_DEGRADED" = true ]; then
printf " ${C_WARN}%s${C_RST}\n" "Unsloth Studio Setup Complete (limited: llama.cpp unavailable)"
else
printf " ${C_TITLE}%s${C_RST}\n" "Unsloth Studio Setup Complete"
fi
printf " ${C_DIM}%s${C_RST}\n" "$RULE"
substep "from colab import start"
substep "start()"
else
printf " ${C_DIM}%s${C_RST}\n" "$RULE"
if [ "$_LLAMA_CPP_DEGRADED" = true ]; then
printf " ${C_WARN}%s${C_RST}\n" "Unsloth Studio Installed (limited: llama.cpp unavailable)"
else
printf " ${C_TITLE}%s${C_RST}\n" "Unsloth Studio Installed"
fi
printf " ${C_DIM}%s${C_RST}\n" "$RULE"
if [ "$_LLAMA_CPP_DEGRADED" = true ]; then
printf " ${C_DIM}%-15s${C_WARN}%s${C_RST}\n" "launch" "unsloth studio -p 8888"
else
printf " ${C_DIM}%-15s${C_OK}%s${C_RST}\n" "launch" "unsloth studio -p 8888"
fi
printf " ${C_DIM}%-15s%s${C_RST}\n" "" "(add -H 0.0.0.0 to allow network / cloud access)"
fi
echo ""
# When called from install.sh (SKIP_STUDIO_BASE=1), exit non-zero so the
# installer can report the GGUF failure after finishing PATH/shortcut setup.
# When called directly via 'unsloth studio update', keep the install
# successful -- the footer above already reports the limitation and Studio
# is still usable for non-GGUF workflows.
if [ "$_LLAMA_CPP_DEGRADED" = true ] && [ "${SKIP_STUDIO_BASE:-0}" = "1" ]; then
exit 1
fi