Implement download subcommand, optional positional model name argument #36
Workflow file for this run
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| name: Eager-dtype main | ||
| on: | ||
| push: | ||
| branches: | ||
| - main | ||
| pull_request: | ||
| workflow_dispatch: | ||
| jobs: | ||
| run-tinystories: | ||
| strategy: | ||
| matrix: | ||
| runner: [macos-12] | ||
| 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 --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cpu | ||
| pip install -r requirements.txt | ||
| - name: Download checkpoints | ||
| run: | | ||
| mkdir -p checkpoints/stories15M | ||
| pushd checkpoints/stories15M | ||
| wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt | ||
| wget https://github.com/karpathy/llama2.c/raw/master/tokenizer.model | ||
| popd | ||
| - name: Run inference | ||
| run: | | ||
| export MODEL_PATH=checkpoints/stories15M/stories15M.pt | ||
| export MODEL_NAME=stories15M | ||
| export MODEL_DIR=/tmp | ||
| for DTYPE in bfloat16 float16 float32; do | ||
| # if [ $(uname -s) == Darwin ]; then | ||
| # export DTYPE=float16 | ||
| # fi | ||
| python generate.py --dtype ${DTYPE} --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | ||
| cat ./output_eager | ||
| echo "******************************************" | ||
| echo "******* Emb: channel-wise quantized ******" | ||
| echo "******************************************" | ||
| python generate.py --dtype ${DTYPE} --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | ||
| cat ./output_eager | ||
| echo "******************************************" | ||
| echo "******** Emb: group-wise quantized *******" | ||
| echo "******************************************" | ||
| python generate.py --dtype ${DTYPE} --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | ||
| cat ./output_eager | ||
| echo "******************************************" | ||
| echo "******* INT8 channel-wise quantized ******" | ||
| echo "******************************************" | ||
| python generate.py --dtype ${DTYPE} --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | ||
| cat ./output_eager | ||
| echo "******************************************" | ||
| echo "******** INT8 group-wise quantized *******" | ||
| echo "******************************************" | ||
| python generate.py --dtype ${DTYPE} --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | ||
| cat ./output_eager | ||
| echo "******************************************" | ||
| echo "******** INT4 group-wise quantized *******" | ||
| echo "******************************************" | ||
| echo "INT4 should work on MacOS on x86, but cannot be tested" | ||
| echo "because nightlies are too old!" | ||
| # python generate.py --dtype ${DTYPE} --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager | ||
| # cat ./output_eager | ||
| echo "tests complete for ${DTYPE}" | ||
| done | ||
| echo "tests complete for all dtypes!" | ||
