Convert model to gguf with specified quant #70
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| name: Convert model to gguf with specified quant | |
| on: | |
| workflow_dispatch: | |
| inputs: | |
| source_model_id: | |
| description: "Source HuggingFace model ID to pull. For ex: meta-llama/Meta-Llama-3.1-8B-Instruct" | |
| required: true | |
| source_model_size: | |
| description: "The model size. For ex: 8b" | |
| required: true | |
| type: string | |
| target_model_id: | |
| description: "Target HuggingFace model ID to push. For ex: llama3.1" | |
| required: true | |
| type: string | |
| quantization_level: | |
| description: "Quantization level (e.g., 'q4-km') or 'all' for all levels" | |
| required: true | |
| type: string | |
| default: 'all' | |
| env: | |
| USER_NAME: cortexso | |
| SOURCE_MODEL_ID: ${{ inputs.source_model_id }} | |
| SOURCE_MODEL_SIZE: ${{ inputs.source_model_size }} | |
| TARGET_MODEL_ID: ${{ inputs.target_model_id }} | |
| QUANT_LEVEL: ${{ inputs.quantization_level }} | |
| jobs: | |
| converter: | |
| runs-on: ubuntu-20-04-gguf | |
| timeout-minutes: 7200 | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v4 # v4.1.7 | |
| with: | |
| submodules: recursive | |
| repository: janhq/cortex.llamacpp | |
| - name: Set up Python | |
| uses: actions/setup-python@v5 # v5.1.1 | |
| with: | |
| python-version: '3.12' | |
| # architecture: 'x64' | |
| - name: Cache Python packages | |
| uses: actions/cache@0c45773b623bea8c8e75f6c82b208c3cf94ea4f9 # v4.0.2 | |
| with: | |
| path: | | |
| ~/.cache/pip | |
| ~/.local/share/pip | |
| .venv | |
| key: ${{ runner.os }}-pip-${{ github.sha }} | |
| restore-keys: | | |
| ${{ runner.os }}-pip- | |
| - name: Install dependencies | |
| run: | | |
| pip3 install -r llama.cpp/requirements.txt | |
| pip3 install hf-transfer | |
| git lfs install | |
| - name: Extract MODEL_NAME | |
| run: | | |
| SOURCE_MODEL_ID="${{ env.SOURCE_MODEL_ID }}" | |
| MODEL_NAME="$(echo $SOURCE_MODEL_ID | rev | cut -d/ -f1 | rev)" | |
| echo $MODEL_NAME | |
| MODEL_NAME="$(echo $MODEL_NAME | tr '[:upper:]' '[:lower:]')" | |
| echo $MODEL_NAME | |
| echo "MODEL_NAME=$MODEL_NAME" >> $GITHUB_ENV | |
| - name: Print environment variables | |
| run: | | |
| echo "SOURCE_MODEL_ID: ${{ env.SOURCE_MODEL_ID }}" | |
| echo "MODEL_NAME: ${{ env.MODEL_NAME }}" | |
| # - name: Check file existence | |
| # id: check_files | |
| # uses: andstor/file-existence-action@v1 | |
| # with: | |
| # files: "/mnt/models/${{ env.MODEL_NAME }}/hf" | |
| - name: Prepare folders | |
| # if: steps.check_files.outputs.files_exists == 'false' | |
| run: | | |
| mkdir -p /mnt/models/${{ env.MODEL_NAME }}/hf | |
| mkdir -p /mnt/models/.cache | |
| - name: Download Hugging Face model | |
| uses: nick-fields/retry@v2 | |
| with: | |
| timeout_minutes: 10 | |
| max_attempts: 5 | |
| command: HF_HUB_ETAG_TIMEOUT=500 huggingface-cli download --repo-type model --local-dir /mnt/models/${{ env.MODEL_NAME }}/hf --cache-dir /mnt/models/.cache --token ${{ secrets.HUGGINGFACE_TOKEN_READ }} ${{ env.SOURCE_MODEL_ID }} | |
| - name: Build lib for quantize | |
| run: | | |
| cd llama.cpp | |
| cmake -B build | |
| cmake --build build --config Release | |
| cd ../../ | |
| - name: Convert to GGUF | |
| run: | | |
| mkdir -p /mnt/models/${{ env.MODEL_NAME }}/gguf | |
| huggingface-cli login --token ${{ secrets.HUGGINGFACE_TOKEN_READ }} --add-to-git-credential | |
| python3 llama.cpp/convert_hf_to_gguf.py "/mnt/models/${{ env.MODEL_NAME }}/hf" --outfile "/mnt/models/${{ env.MODEL_NAME }}/gguf/model-origin.gguf" | |
| huggingface-cli logout | |
| - name: Quantize the model | |
| run: | | |
| declare -A quant_map=( | |
| ["q2-k"]="Q2_K" | |
| ["q3-ks"]="Q3_K_S" | |
| ["q3-km"]="Q3_K_M" | |
| ["q3-kl"]="Q3_K_L" | |
| ["q4-ks"]="Q4_K_S" | |
| ["q4-km"]="Q4_K_M" | |
| ["q5-ks"]="Q5_K_S" | |
| ["q5-km"]="Q5_K_M" | |
| ["q6-k"]="Q6_K" | |
| ["q8-0"]="Q8_0" | |
| ) | |
| if [ "${{ env.QUANT_LEVEL }}" = "all" ]; then | |
| quant_levels=("q2-k" "q3-ks" "q3-km" "q3-kl" "q4-ks" "q4-km" "q5-ks" "q5-km" "q6-k" "q8-0") | |
| else | |
| quant_levels=("${{ env.QUANT_LEVEL }}") | |
| fi | |
| for quant in "${quant_levels[@]}"; do | |
| mkdir -p /mnt/models/${{ env.MODEL_NAME }}/gguf/${quant}/ | |
| [ ! -f /mnt/models/${{ env.MODEL_NAME }}/gguf/${quant}/model.gguf ] && ./llama.cpp/build/bin/llama-quantize /mnt/models/${{ env.MODEL_NAME }}/gguf/model-origin.gguf /mnt/models/${{ env.MODEL_NAME }}/gguf/${quant}/model.gguf ${quant_map[${quant}]} | |
| done | |
| rm -rf /mnt/models/${{ env.MODEL_NAME }}/gguf/model-origin.gguf | |
| - name: Upload to Hugging Face | |
| run: | | |
| huggingface-cli login --token ${{ secrets.HUGGINGFACE_TOKEN_WRITE }} --add-to-git-credential | |
| if [ "${{ env.QUANT_LEVEL }}" = "all" ]; then | |
| quant_levels=("q2-k" "q3-ks" "q3-km" "q3-kl" "q4-ks" "q4-km" "q5-ks" "q5-km" "q6-k" "q8-0") | |
| else | |
| quant_levels=("${{ env.QUANT_LEVEL }}") | |
| fi | |
| for quant in "${quant_levels[@]}"; do | |
| huggingface-cli upload "${{ env.USER_NAME }}/${{ env.TARGET_MODEL_ID }}" "/mnt/models/${{ env.MODEL_NAME }}/gguf/${quant}/" . --revision "${{ env.SOURCE_MODEL_SIZE }}-gguf-${quant}" | |
| done | |
| rm -rf /mnt/models/${{ env.MODEL_NAME }}/gguf/* | |
| huggingface-cli logout | |
| rm -rf llama.cpp/build/ | |