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https://github.com/huggingface/text-generation-inference.git
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Add support for GPTQ Marlin kernels GPTQ Marlin extends the Marlin kernels to support common GPTQ configurations: - bits: 4 or 8 - groupsize: -1, 32, 64, or 128 - desc_act: true/false Using the GPTQ Marlin kernels requires repacking the parameters in the Marlin quantizer format. The kernels were contributed by Neural Magic to VLLM. We vendor them here for convenience.
39 lines
1.4 KiB
Makefile
39 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-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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