Enable lintrunner across the project #139
Workflow file for this run
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| name: Compile main using GGUF | |
| on: | |
| push: | |
| branches: | |
| - main | |
| pull_request: | |
| workflow_dispatch: | |
| jobs: | |
| run-tinystories: | |
| strategy: | |
| matrix: | |
| runner: [macos-14] | |
| runs-on: ${{matrix.runner}} | |
| steps: | |
| - name: Checkout repo | |
| uses: actions/checkout@v2 | |
| - name: Setup Python | |
| uses: actions/setup-python@v2 | |
| with: | |
| python-version: 3.11 | |
| - name: Print machine info | |
| run: | | |
| uname -a | |
| if [ $(uname -s) == Darwin ]; then | |
| sysctl machdep.cpu.brand_string | |
| sysctl machdep.cpu.core_count | |
| fi | |
| - name: Install requirements | |
| run: | | |
| pip install gguf | |
| pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cpu | |
| pip install -r requirements.txt | |
| - name: Download GGUF | |
| run: | | |
| mkdir gguf_files | |
| export GGUF_PATH=gguf_files/TinyLlama-1.1B-openorca.Q4_0.gguf | |
| export TOKENIZER_PATH=gguf_files/tokenizer.model | |
| wget -O ${GGUF_PATH} "https://huggingface.co/TheBloke/TinyLlama-1.1B-1T-OpenOrca-GGUF/resolve/main/tinyllama-1.1b-1t-openorca.Q4_0.gguf?download=true" | |
| wget -O ${TOKENIZER_PATH} https://github.com/karpathy/llama2.c/raw/master/tokenizer.model | |
| - name: Run inference | |
| run: | | |
| export GGUF_PATH=gguf_files/TinyLlama-1.1B-openorca.Q4_0.gguf | |
| export TOKENIZER_PATH=gguf_files/tokenizer.model | |
| export MODEL_NAME=TinyLlama-1.1B-openorca.Q4_0.gguf | |
| export MODEL_DIR=/tmp | |
| echo "******************************************" | |
| echo "******* Embed: not quantized *************" | |
| echo "******************************************" | |
| echo "Running eager" | |
| python generate.py --gguf-path ${GGUF_PATH} --tokenizer-path ${TOKENIZER_PATH} --max-new-tokens 20 --temperature 0 > ./output_eager | |
| cat ./output_eager | |
| echo "Running compiled" | |
| python generate.py --compile --gguf-path ${GGUF_PATH} --tokenizer-path ${TOKENIZER_PATH} --max-new-tokens 20 --temperature 0 > ./output_compiled | |
| cat ./output_compiled | |
| echo "******************************************" | |
| echo "******* Emb: channel-wise quantized ******" | |
| echo "******************************************" | |
| echo "Running eager" | |
| python generate.py --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --gguf-path ${GGUF_PATH} --tokenizer-path ${TOKENIZER_PATH} --max-new-tokens 20 --temperature 0 > ./output_eager | |
| cat ./output_eager | |
| echo "Running compiled" | |
| python generate.py --compile --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --gguf-path ${GGUF_PATH} --tokenizer-path ${TOKENIZER_PATH} --max-new-tokens 20 --temperature 0 > ./output_compiled | |
| cat ./output_compiled | |
| echo "******************************************" | |
| echo "******** Emb: group-wise quantized *******" | |
| echo "******************************************" | |
| echo "Running eager" | |
| python generate.py --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --gguf-path ${GGUF_PATH} --tokenizer-path ${TOKENIZER_PATH} --max-new-tokens 20 --temperature 0 > ./output_eager | |
| cat ./output_eager | |
| echo "Running compiled" | |
| python generate.py --compile --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --gguf-path ${GGUF_PATH} --tokenizer-path ${TOKENIZER_PATH} --max-new-tokens 20 --temperature 0 > ./output_compiled | |
| cat ./output_compiled | |
| echo "tests complete" | |
| echo "******************************************" |