425 lines
18 KiB
Bash
Executable file
425 lines
18 KiB
Bash
Executable file
#!/usr/bin/env bash
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# SPDX-License-Identifier: AGPL-3.0-only
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# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
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set -euo pipefail
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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REPO_ROOT="$(cd "$SCRIPT_DIR/.." && pwd)"
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# ── Helper: run command quietly, show output only on failure ──
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run_quiet() {
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local label="$1"
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shift
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local tmplog
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tmplog=$(mktemp)
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if "$@" > "$tmplog" 2>&1; then
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rm -f "$tmplog"
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else
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local exit_code=$?
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echo "❌ $label failed (exit code $exit_code):"
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cat "$tmplog"
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rm -f "$tmplog"
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exit $exit_code
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fi
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}
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echo "╔══════════════════════════════════════╗"
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echo "║ Unsloth Studio Setup Script ║"
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echo "╚══════════════════════════════════════╝"
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# ── Clean up stale Unsloth compiled caches ──
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rm -rf "$REPO_ROOT/unsloth_compiled_cache"
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rm -rf "$SCRIPT_DIR/backend/unsloth_compiled_cache"
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rm -rf "$SCRIPT_DIR/tmp/unsloth_compiled_cache"
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# ── Detect Colab (like unsloth does) ──
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IS_COLAB=false
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keynames=$'\n'$(printenv | cut -d= -f1)
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if [[ "$keynames" == *$'\nCOLAB_'* ]]; then
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IS_COLAB=true
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fi
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# ── Detect whether frontend needs building ──
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# Only skip when BOTH conditions are true:
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# 1. We're inside site-packages (PyPI / pip install, not editable)
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# 2. dist/ already exists (pre-built in the wheel)
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# Otherwise always (re)build — handles upgrades, editable installs, and
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# pip-from-source where dist/ was never built.
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if [[ "$SCRIPT_DIR" == */site-packages/* ]] && [ -d "$SCRIPT_DIR/frontend/dist" ]; then
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echo "✅ Frontend pre-built (PyPI) — skipping Node/npm check."
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else
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NEED_NODE=true
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if command -v node &>/dev/null && command -v npm &>/dev/null; then
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NODE_MAJOR=$(node -v | sed 's/v//' | cut -d. -f1)
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NPM_MAJOR=$(npm -v | cut -d. -f1)
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if [ "$NODE_MAJOR" -ge 20 ] && [ "$NPM_MAJOR" -ge 11 ]; then
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echo "✅ Node $(node -v) and npm $(npm -v) already meet requirements. Skipping nvm install."
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NEED_NODE=false
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else
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if [ "$IS_COLAB" = true ]; then
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echo "✅ Node $(node -v) and npm $(npm -v) detected in Colab."
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# In Colab, just upgrade npm directly - nvm doesn't work well
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if [ "$NPM_MAJOR" -lt 11 ]; then
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echo " Upgrading npm to latest..."
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npm install -g npm@latest > /dev/null 2>&1
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fi
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NEED_NODE=false
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else
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echo "⚠️ Node $(node -v) / npm $(npm -v) too old. Installing via nvm..."
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fi
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fi
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else
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echo "⚠️ Node/npm not found. Installing via nvm..."
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fi
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if [ "$NEED_NODE" = true ]; then
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# ── 2. Install nvm ──
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export NODE_OPTIONS=--dns-result-order=ipv4first # or else fails on colab.
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echo "Installing nvm..."
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curl -so- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.1/install.sh | bash > /dev/null 2>&1
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# Load nvm (source ~/.bashrc won't work inside a script)
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export NVM_DIR="$HOME/.nvm"
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set +u
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[ -s "$NVM_DIR/nvm.sh" ] && \. "$NVM_DIR/nvm.sh"
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# ── Fix npmrc conflict with nvm ──
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# System npm (apt, conda, etc.) may have written `prefix` or `globalconfig`
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# to ~/.npmrc, which is incompatible with nvm and causes "nvm use" to fail
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# with: "has a `globalconfig` and/or a `prefix` setting, which are
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# incompatible with nvm."
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if [ -f "$HOME/.npmrc" ]; then
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if grep -qE '^\s*(prefix|globalconfig)\s*=' "$HOME/.npmrc"; then
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echo " Removing incompatible prefix/globalconfig from ~/.npmrc for nvm..."
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sed -i.bak '/^\s*\(prefix\|globalconfig\)\s*=/d' "$HOME/.npmrc"
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fi
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fi
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# ── 3. Install Node LTS ──
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echo "Installing Node LTS..."
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run_quiet "nvm install" nvm install --lts
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nvm use --lts > /dev/null 2>&1
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set -u
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# ── 4. Verify versions ──
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NODE_MAJOR=$(node -v | sed 's/v//' | cut -d. -f1)
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NPM_MAJOR=$(npm -v | cut -d. -f1)
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if [ "$NODE_MAJOR" -lt 20 ]; then
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echo "❌ ERROR: Node version must be >= 20 (got $(node -v))"
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exit 1
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fi
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if [ "$NPM_MAJOR" -lt 11 ]; then
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echo "⚠️ npm version is $(npm -v), expected >= 11. Updating..."
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run_quiet "npm update" npm install -g npm@latest
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fi
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fi
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echo "✅ Node $(node -v) | npm $(npm -v)"
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# ── 5. Build frontend ──
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cd "$SCRIPT_DIR/frontend"
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# Tailwind v4's oxide scanner respects .gitignore in parent directories.
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# Python venvs create a .gitignore with "*" (ignore everything), which
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# prevents Tailwind from scanning .tsx source files for class names.
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# Temporarily hide any such .gitignore during the build, then restore it.
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_HIDDEN_GITIGNORES=()
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_dir="$(pwd)"
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while [ "$_dir" != "/" ]; do
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_dir="$(dirname "$_dir")"
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if [ -f "$_dir/.gitignore" ] && grep -qx '\*' "$_dir/.gitignore" 2>/dev/null; then
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mv "$_dir/.gitignore" "$_dir/.gitignore._twbuild"
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_HIDDEN_GITIGNORES+=("$_dir/.gitignore")
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fi
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done
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_restore_gitignores() {
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for _gi in "${_HIDDEN_GITIGNORES[@]+"${_HIDDEN_GITIGNORES[@]}"}"; do
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mv "${_gi}._twbuild" "$_gi" 2>/dev/null || true
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done
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}
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trap _restore_gitignores EXIT
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run_quiet "npm install" npm install
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run_quiet "npm run build" npm run build
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_restore_gitignores
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trap - EXIT
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cd "$SCRIPT_DIR/backend/core/data_recipe/oxc-validator"
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run_quiet "npm install (oxc validator runtime)" npm install
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cd "$SCRIPT_DIR"
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echo "✅ Frontend built to frontend/dist"
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fi # end frontend dist check
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# ── 6. Python venv + deps ──
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# ── 6a. Discover best Python >= 3.11 and < 3.14 (i.e. 3.11.x, 3.12.x, or 3.13.x) ──
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MIN_PY_MINOR=11 # minimum minor version (>= 3.11)
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MAX_PY_MINOR=13 # maximum minor version (< 3.14)
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BEST_PY=""
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BEST_MAJOR=0
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BEST_MINOR=0
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# Collect candidate python3 binaries (python3, python3.9, python3.10, …)
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for candidate in $(compgen -c python3 2>/dev/null | grep -E '^python3(\.[0-9]+)?$' | sort -u); do
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if ! command -v "$candidate" &>/dev/null; then
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continue
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fi
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# Get version string, e.g. "Python 3.12.5"
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ver_str=$("$candidate" --version 2>&1) || continue
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ver_str=$(echo "$ver_str" | awk '{print $2}')
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py_major=$(echo "$ver_str" | cut -d. -f1)
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py_minor=$(echo "$ver_str" | cut -d. -f2)
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# Skip anything that isn't Python 3
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if [ "$py_major" -ne 3 ] 2>/dev/null; then
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continue
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fi
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# Skip versions below 3.12 (require > 3.11)
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if [ "$py_minor" -lt "$MIN_PY_MINOR" ] 2>/dev/null; then
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continue
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fi
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# Skip versions above 3.13 (require < 3.14)
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if [ "$py_minor" -gt "$MAX_PY_MINOR" ] 2>/dev/null; then
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continue
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fi
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# Keep the highest qualifying version
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if [ "$py_minor" -gt "$BEST_MINOR" ]; then
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BEST_PY="$candidate"
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BEST_MAJOR="$py_major"
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BEST_MINOR="$py_minor"
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fi
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done
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echo "finished finding best python"
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if [ -z "$BEST_PY" ]; then
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echo "❌ ERROR: No Python version between 3.${MIN_PY_MINOR} and 3.${MAX_PY_MINOR} found on this system."
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echo " Detected Python 3 installations:"
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for candidate in $(compgen -c python3 2>/dev/null | grep -E '^python3(\.[0-9]+)?$' | sort -u); do
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if command -v "$candidate" &>/dev/null; then
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echo " - $candidate ($($candidate --version 2>&1))"
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fi
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done
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echo ""
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echo " Please install Python 3.${MIN_PY_MINOR} or 3.${MAX_PY_MINOR}."
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echo " For example: sudo apt install python3.12 python3.12-venv"
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exit 1
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fi
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BEST_VER=$("$BEST_PY" --version 2>&1 | awk '{print $2}')
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echo "✅ Using $BEST_PY ($BEST_VER) — compatible (3.${MIN_PY_MINOR}.x – 3.${MAX_PY_MINOR}.x)"
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REQ_ROOT="$SCRIPT_DIR/backend/requirements"
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SINGLE_ENV_CONSTRAINTS="$REQ_ROOT/single-env/constraints.txt"
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SINGLE_ENV_DATA_DESIGNER="$REQ_ROOT/single-env/data-designer.txt"
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SINGLE_ENV_DATA_DESIGNER_DEPS="$REQ_ROOT/single-env/data-designer-deps.txt"
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SINGLE_ENV_PATCH="$REQ_ROOT/single-env/patch_metadata.py"
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install_python_stack() {
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python "$SCRIPT_DIR/install_python_stack.py"
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}
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if [ "$IS_COLAB" = true ]; then
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# Colab: install packages directly without venv
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install_python_stack
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else
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# Local: create venv under studio home (shared location, not in repo)
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# Configurable via UNSLOTH_STUDIO_HOME; defaults to ~/.unsloth/studio
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STUDIO_HOME="${UNSLOTH_STUDIO_HOME:-$HOME/.unsloth/studio}"
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echo " Studio home: $STUDIO_HOME"
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# Persist for future `unsloth studio` runs (survives shell restarts)
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mkdir -p "$HOME/.unsloth"
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echo "$STUDIO_HOME" > "$HOME/.unsloth/studio_home"
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VENV_DIR="$STUDIO_HOME/.venv"
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VENV_T5_DIR="$STUDIO_HOME/.venv_t5"
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mkdir -p "$STUDIO_HOME"
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# Clean up legacy in-repo venvs if they exist
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[ -d "$REPO_ROOT/.venv" ] && rm -rf "$REPO_ROOT/.venv"
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[ -d "$REPO_ROOT/.venv_overlay" ] && rm -rf "$REPO_ROOT/.venv_overlay"
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[ -d "$REPO_ROOT/.venv_t5" ] && rm -rf "$REPO_ROOT/.venv_t5"
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rm -rf "$VENV_DIR"
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rm -rf "$VENV_T5_DIR"
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"$BEST_PY" -m venv "$VENV_DIR"
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source "$VENV_DIR/bin/activate"
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cd "$SCRIPT_DIR"
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install_python_stack
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# ── 6b. Pre-install transformers 5.x into .venv_t5/ ──
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# Models like GLM-4.7-Flash need transformers>=5.3.0. Instead of pip-installing
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# at runtime (slow, ~10-15s), we pre-install into a separate directory.
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# The training subprocess just prepends .venv_t5/ to sys.path — instant switch.
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echo ""
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echo " Pre-installing transformers 5.x for newer model support..."
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mkdir -p "$VENV_T5_DIR"
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run_quiet "pip install transformers 5.x" pip install --target "$VENV_T5_DIR" --no-deps "transformers==5.3.0"
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run_quiet "pip install huggingface_hub for t5" pip install --target "$VENV_T5_DIR" --no-deps "huggingface_hub==1.3.0"
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echo "✅ Transformers 5.x pre-installed to $VENV_T5_DIR/"
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# ── 7. WSL: pre-install GGUF build dependencies ──
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# On WSL, sudo requires a password and can't be entered during GGUF export
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# (runs in a non-interactive subprocess). Install build deps here instead.
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if grep -qi microsoft /proc/version 2>/dev/null; then
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echo ""
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echo "⚠️ WSL detected — installing build dependencies for GGUF export..."
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echo " You may be prompted for your password."
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sudo apt-get update -y
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sudo apt-get install -y build-essential cmake curl git libcurl4-openssl-dev
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echo "✅ GGUF build dependencies installed"
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fi
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fi
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# ── 8. Build llama.cpp binaries for GGUF inference + export ──
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# Disabled: llama.cpp build is commented out for now.
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# UNCOMMENT the block below to re-enable.
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#
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# # Builds at ~/.unsloth/llama.cpp — a single shared location under the user's
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# # home directory. This is used by both the inference server and the GGUF
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# # export pipeline (unsloth-zoo).
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# # - llama-server: for GGUF model inference
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# # - llama-quantize: for GGUF export quantization (symlinked to root for check_llama_cpp())
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# UNSLOTH_HOME="$HOME/.unsloth"
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# mkdir -p "$UNSLOTH_HOME"
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# LLAMA_CPP_DIR="$UNSLOTH_HOME/llama.cpp"
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# LLAMA_SERVER_BIN="$LLAMA_CPP_DIR/build/bin/llama-server"
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# rm -rf "$LLAMA_CPP_DIR"
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# {
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# # Check prerequisites
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# if ! command -v cmake &>/dev/null; then
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# echo ""
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# echo "⚠️ cmake not found — skipping llama-server build (GGUF inference won't be available)"
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# echo " Install cmake and re-run setup.sh to enable GGUF inference."
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# elif ! command -v git &>/dev/null; then
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# echo ""
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# echo "⚠️ git not found — skipping llama-server build (GGUF inference won't be available)"
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# else
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# echo ""
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# echo "Building llama-server for GGUF inference..."
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#
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# BUILD_OK=true
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# run_quiet "clone llama.cpp" git clone --depth 1 https://github.com/ggml-org/llama.cpp.git "$LLAMA_CPP_DIR" || BUILD_OK=false
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#
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# if [ "$BUILD_OK" = true ]; then
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# # Skip tests/examples we don't need (faster build)
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# CMAKE_ARGS="-DLLAMA_BUILD_TESTS=OFF -DLLAMA_BUILD_EXAMPLES=OFF -DLLAMA_BUILD_SERVER=ON -DGGML_NATIVE=ON"
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#
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# # Use ccache if available (dramatically faster rebuilds)
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# if command -v ccache &>/dev/null; then
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# CMAKE_ARGS="$CMAKE_ARGS -DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CXX_COMPILER_LAUNCHER=ccache -DCMAKE_CUDA_COMPILER_LAUNCHER=ccache"
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# echo " Using ccache for faster compilation"
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# fi
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#
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# # Detect CUDA: check nvcc on PATH, then common install locations
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# NVCC_PATH=""
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# if command -v nvcc &>/dev/null; then
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# NVCC_PATH="$(command -v nvcc)"
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# elif [ -x /usr/local/cuda/bin/nvcc ]; then
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# NVCC_PATH="/usr/local/cuda/bin/nvcc"
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# export PATH="/usr/local/cuda/bin:$PATH"
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# elif ls /usr/local/cuda-*/bin/nvcc &>/dev/null 2>&1; then
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# # Pick the newest cuda-XX.X directory
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# NVCC_PATH="$(ls -d /usr/local/cuda-*/bin/nvcc 2>/dev/null | sort -V | tail -1)"
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# export PATH="$(dirname "$NVCC_PATH"):$PATH"
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# fi
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#
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# if [ -n "$NVCC_PATH" ]; then
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# echo " Building with CUDA support (nvcc: $NVCC_PATH)..."
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# CMAKE_ARGS="$CMAKE_ARGS -DGGML_CUDA=ON"
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#
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# # Detect GPU compute capability and limit CUDA architectures
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# # Without this, cmake builds for ALL default archs (very slow)
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# CUDA_ARCHS=""
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# if command -v nvidia-smi &>/dev/null; then
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# # Read all GPUs, deduplicate (handles mixed-GPU hosts)
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# _raw_caps=$(nvidia-smi --query-gpu=compute_cap --format=csv,noheader 2>/dev/null || true)
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# while IFS= read -r _cap; do
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# _cap=$(echo "$_cap" | tr -d '[:space:]')
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# if [[ "$_cap" =~ ^([0-9]+)\.([0-9]+)$ ]]; then
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# _arch="${BASH_REMATCH[1]}${BASH_REMATCH[2]}"
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# # Append if not already present
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# case ";$CUDA_ARCHS;" in
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# *";$_arch;"*) ;;
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# *) CUDA_ARCHS="${CUDA_ARCHS:+$CUDA_ARCHS;}$_arch" ;;
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# esac
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# fi
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# done <<< "$_raw_caps"
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# fi
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#
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# if [ -n "$CUDA_ARCHS" ]; then
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# echo " GPU compute capabilities: ${CUDA_ARCHS//;/, } -- limiting build to detected archs"
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# CMAKE_ARGS="$CMAKE_ARGS -DCMAKE_CUDA_ARCHITECTURES=${CUDA_ARCHS}"
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# else
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# echo " Could not detect GPU arch -- building for all default CUDA architectures (slower)"
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# fi
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#
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# # Multi-threaded nvcc compilation (uses all CPU cores per .cu file)
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# CMAKE_ARGS="$CMAKE_ARGS -DCMAKE_CUDA_FLAGS=--threads=0"
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# elif [ -d /usr/local/cuda ] || nvidia-smi &>/dev/null; then
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# echo " CUDA driver detected but nvcc not found — building CPU-only"
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# echo " To enable GPU: install cuda-toolkit or add nvcc to PATH"
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# else
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# echo " Building CPU-only (no CUDA detected)..."
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# fi
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#
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# NCPU=$(nproc 2>/dev/null || sysctl -n hw.ncpu 2>/dev/null || echo 4)
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#
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# # Use Ninja if available (faster parallel builds than Make)
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# CMAKE_GENERATOR_ARGS=""
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# if command -v ninja &>/dev/null; then
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# CMAKE_GENERATOR_ARGS="-G Ninja"
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# fi
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#
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# run_quiet "cmake llama.cpp" cmake $CMAKE_GENERATOR_ARGS -S "$LLAMA_CPP_DIR" -B "$LLAMA_CPP_DIR/build" $CMAKE_ARGS || BUILD_OK=false
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# fi
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#
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# if [ "$BUILD_OK" = true ]; then
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# run_quiet "build llama-server" cmake --build "$LLAMA_CPP_DIR/build" --config Release --target llama-server -j"$NCPU" || BUILD_OK=false
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# fi
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#
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# # Also build llama-quantize (needed by unsloth-zoo's GGUF export pipeline)
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# if [ "$BUILD_OK" = true ]; then
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# run_quiet "build llama-quantize" cmake --build "$LLAMA_CPP_DIR/build" --config Release --target llama-quantize -j"$NCPU" || true
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# # Symlink to llama.cpp root — check_llama_cpp() looks for the binary there
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# QUANTIZE_BIN="$LLAMA_CPP_DIR/build/bin/llama-quantize"
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# if [ -f "$QUANTIZE_BIN" ]; then
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# ln -sf build/bin/llama-quantize "$LLAMA_CPP_DIR/llama-quantize"
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# fi
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# fi
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#
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# if [ "$BUILD_OK" = true ]; then
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# if [ -f "$LLAMA_SERVER_BIN" ]; then
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||
# echo "✅ llama-server built at $LLAMA_SERVER_BIN"
|
||
# else
|
||
# echo "⚠️ llama-server binary not found after build — GGUF inference won't be available"
|
||
# fi
|
||
# if [ -f "$LLAMA_CPP_DIR/llama-quantize" ]; then
|
||
# echo "✅ llama-quantize available for GGUF export"
|
||
# fi
|
||
# else
|
||
# echo "⚠️ llama-server build failed — GGUF inference won't be available, but everything else works"
|
||
# fi
|
||
# fi
|
||
# }
|
||
|
||
echo ""
|
||
if [ "$IS_COLAB" = true ]; then
|
||
echo "╔══════════════════════════════════════╗"
|
||
echo "║ Setup Complete! ║"
|
||
echo "╠══════════════════════════════════════╣"
|
||
echo "║ Unsloth Studio is ready to start ║"
|
||
echo "║ in your Colab notebook! ║"
|
||
echo "╚══════════════════════════════════════╝"
|
||
else
|
||
echo "╔══════════════════════════════════════╗"
|
||
echo "║ Setup Complete! ║"
|
||
echo "╠══════════════════════════════════════╣"
|
||
echo "║ Launch with: ║"
|
||
echo "║ ║"
|
||
echo "║ unsloth studio -H 0.0.0.0 -p 8000 ║"
|
||
echo "╚══════════════════════════════════════╝"
|
||
fi
|