mirror of
https://github.com/huggingface/text-generation-inference.git
synced 2025-04-26 04:22:08 +00:00
4594e6faba
This change adds support for Marlin-quantized models. Marlin is an FP16xINT4 matmul kernel, which provides good speedups decoding batches of 16-32 tokens. It supports quantized models with symmetric quantization, groupsize -1 or 128, and 4-bit. Tested with: - Llama 2 - Llama 3 - Phi 3
40 lines
1.4 KiB
Makefile
40 lines
1.4 KiB
Makefile
include Makefile-flash-att
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include Makefile-flash-att-v2
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include Makefile-vllm
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include Makefile-awq
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include Makefile-eetq
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include Makefile-marlin
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include Makefile-selective-scan
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unit-tests:
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pytest -s -vv -m "not private" tests
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gen-server:
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# Compile protos
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pip install grpcio-tools==1.62.2 mypy-protobuf==3.6.0 'types-protobuf' --no-cache-dir
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mkdir text_generation_server/pb || true
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python -m grpc_tools.protoc -I../proto/v3 --python_out=text_generation_server/pb \
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--grpc_python_out=text_generation_server/pb --mypy_out=text_generation_server/pb ../proto/v3/generate.proto
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find text_generation_server/pb/ -type f -name "*.py" -print0 -exec sed -i -e 's/^\(import.*pb2\)/from . \1/g' {} \;
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touch text_generation_server/pb/__init__.py
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install-server: gen-server
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pip install pip --upgrade
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pip install -r requirements_cuda.txt
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pip install -e ".[bnb, accelerate, quantize, peft, outlines]"
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install: install-cuda
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echo "Installed server"
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install-cuda: install-server install-flash-attention-v2-cuda install-vllm-cuda install-flash-attention
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install-rocm: install-server install-flash-attention-v2-rocm install-vllm-rocm
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run-dev:
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SAFETENSORS_FAST_GPU=1 python -m torch.distributed.run --nproc_per_node=2 text_generation_server/cli.py serve bigscience/bloom-560m --sharded
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export-requirements:
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poetry export -o requirements_cuda.txt --without-hashes
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poetry export -o requirements_rocm.txt --without-hashes
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