feat: initial import of all helper scripts from ~/scripts/

- Training data pipeline: convert, export, extract, load-to-db
- Infra tooling: infra-audit, infra-gitea-link
- RAG pipeline: rag-ingest, rag-query
- Fine-tuning: finetune-lora, overnight-qwen3, install-unsloth
- Transcripts: export-transcripts
- Updated README with script index and token reduction strategy

install-unsloth.sh

@@ -0,0 +1,56 @@
+#!/bin/bash
+# Install unsloth for Qwen3-8B LoRA fine-tuning on GTX 1080 (Pascal, CUDA 12.x)
+# Uses GPU 1 (GTX 1080, 8GB VRAM) — leaves GPU 0 free for inference
+# Run once. Safe to re-run.
+
+set -e
+
+echo "=== Unsloth install for Grace fine-tuning (GPU 1, GTX 1080) ==="
+echo "CUDA: $(nvcc --version 2>/dev/null | grep release || echo 'checking docker...')"
+echo ""
+
+# Use a dedicated venv to avoid polluting system Python
+VENV_DIR="$HOME/unsloth-env"
+
+if [ ! -d "$VENV_DIR" ]; then
+    echo "[1/5] Creating venv at $VENV_DIR..."
+    python3 -m venv "$VENV_DIR"
+else
+    echo "[1/5] Venv already exists at $VENV_DIR"
+fi
+
+source "$VENV_DIR/bin/activate"
+
+echo "[2/5] Installing PyTorch with CUDA 12.1 (Pascal-compatible)..."
+pip install --quiet torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
+
+echo "[3/5] Installing unsloth (Qwen3 + LoRA support)..."
+pip install --quiet "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git"
+
+echo "[4/5] Installing training utilities..."
+pip install --quiet \
+    transformers \
+    datasets \
+    trl \
+    peft \
+    accelerate \
+    bitsandbytes \
+    wandb \
+    scipy
+
+echo "[5/5] Verifying install..."
+python3 -c "
+import torch
+print(f'PyTorch: {torch.__version__}')
+print(f'CUDA available: {torch.cuda.is_available()}')
+if torch.cuda.is_available():
+    print(f'GPU 0: {torch.cuda.get_device_name(0)}')
+    print(f'GPU 1: {torch.cuda.get_device_name(1)}')
+import unsloth
+print(f'Unsloth: OK')
+"
+
+echo ""
+echo "=== Install complete ==="
+echo "Activate with: source $VENV_DIR/bin/activate"
+echo "Run fine-tuning with: ~/scripts/finetune-lora.py"