2023-04-09 11:59:16 -06:00
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include Makefile-flash-att
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2023-07-18 08:21:18 -06:00
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include Makefile-flash-att-v2
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2023-07-04 01:39:25 -06:00
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include Makefile-vllm
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Add AWQ quantization inference support (#1019) (#1054)
# Add AWQ quantization inference support
Fixes
https://github.com/huggingface/text-generation-inference/issues/781
This PR (partially) adds support for AWQ quantization for inference.
More information on AWQ [here](https://arxiv.org/abs/2306.00978). In
general, AWQ is faster and more accurate than GPTQ, which is currently
supported by TGI.
This PR installs 4-bit GEMM custom CUDA kernels released by AWQ authors
(in `requirements.txt`, just one line change).
Quick way to test this PR would be bring up TGI as follows:
```
text-generation-server download-weights abhinavkulkarni/codellama-CodeLlama-7b-Python-hf-w4-g128-awq
text-generation-launcher \
--huggingface-hub-cache ~/.cache/huggingface/hub/ \
--model-id abhinavkulkarni/codellama-CodeLlama-7b-Python-hf-w4-g128-awq \
--trust-remote-code --port 8080 \
--max-input-length 2048 --max-total-tokens 4096 --max-batch-prefill-tokens 4096 \
--quantize awq
```
Please note:
* This PR was tested with FlashAttention v2 and vLLM.
* This PR adds support for AWQ inference, not quantizing the models.
That needs to be done outside of TGI, instructions
[here](https://github.com/mit-han-lab/llm-awq/tree/f084f40bd996f3cf3a0633c1ad7d9d476c318aaa).
* This PR only adds support for `FlashLlama` models for now.
* Multi-GPU setup has not been tested.
* No integration tests have been added so far, will add later if
maintainers are interested in this change.
* This PR can be tested on any of the models released
[here](https://huggingface.co/abhinavkulkarni?sort_models=downloads#models).
Please refer to the linked issue for benchmarks for
[abhinavkulkarni/meta-llama-Llama-2-7b-chat-hf-w4-g128-awq](https://huggingface.co/abhinavkulkarni/meta-llama-Llama-2-7b-chat-hf-w4-g128-awq)
vs
[TheBloke/Llama-2-7b-Chat-GPTQ](https://huggingface.co/TheBloke/Llama-2-7b-Chat-GPTQ).
Please note, AWQ has released faster (and in case of Llama, fused)
kernels for 4-bit GEMM, currently at the top of the `main` branch at
https://github.com/mit-han-lab/llm-awq, but this PR uses an older commit
that has been tested to work. We can switch to latest commit later on.
## Who can review?
@OlivierDehaene OR @Narsil
---------
# What does this PR do?
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Fixes # (issue)
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [ ] Did you read the [contributor
guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
Pull Request section?
- [ ] Was this discussed/approved via a Github issue or the
[forum](https://discuss.huggingface.co/)? Please add a link
to it if that's the case.
- [ ] Did you make sure to update the documentation with your changes?
Here are the
[documentation
guidelines](https://github.com/huggingface/transformers/tree/main/docs),
and
[here are tips on formatting
docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] Did you write any new necessary tests?
## Who can review?
Anyone in the community is free to review the PR once the tests have
passed. Feel free to tag
members/contributors who may be interested in your PR.
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---------
Co-authored-by: Abhinav M Kulkarni <abhinavkulkarni@gmail.com>
Co-authored-by: Abhinav Kulkarni <abhinav@concentric.ai>
2023-09-25 07:31:27 -06:00
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include Makefile-awq
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2023-09-27 03:42:57 -06:00
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include Makefile-eetq
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2024-02-08 02:19:45 -07:00
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include Makefile-selective-scan
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2024-06-25 12:46:27 -06:00
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include Makefile-lorax-punica
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2024-07-20 11:02:04 -06:00
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include Makefile-fbgemm
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2024-08-14 03:58:08 -06:00
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include Makefile-exllamav2
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2024-08-29 08:29:01 -06:00
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include Makefile-flashinfer
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2023-03-03 09:56:27 -07:00
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2023-04-20 03:07:40 -06:00
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unit-tests:
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2023-05-16 15:23:27 -06:00
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pytest -s -vv -m "not private" tests
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2023-04-20 03:07:40 -06:00
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2022-10-08 04:30:12 -06:00
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gen-server:
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2022-10-22 12:00:15 -06:00
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# Compile protos
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2024-06-04 11:38:46 -06:00
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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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2023-03-07 10:52:22 -07:00
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mkdir text_generation_server/pb || true
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2024-06-04 07:56:56 -06:00
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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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2023-03-07 10:52:22 -07:00
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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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2022-10-08 04:30:12 -06:00
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2024-06-04 11:38:46 -06:00
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install-server: gen-server
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2022-10-22 12:00:15 -06:00
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pip install pip --upgrade
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2023-11-27 06:08:12 -07:00
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pip install -r requirements_cuda.txt
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2024-07-15 07:34:20 -06:00
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pip install -e ".[accelerate, quantize, peft, outlines]"
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2022-10-08 04:30:12 -06:00
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2024-06-04 11:38:46 -06:00
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install: install-cuda
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echo "Installed server"
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2024-07-20 11:02:04 -06:00
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install-cuda: install-server install-flash-attention-v2-cuda install-vllm-cuda install-flash-attention install-fbgemm
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2024-07-15 07:34:20 -06:00
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pip install -e ".[bnb]"
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2024-07-23 15:31:28 -06:00
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pip install nvidia-nccl-cu12==2.22.3
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2024-06-04 11:38:46 -06:00
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install-rocm: install-server install-flash-attention-v2-rocm install-vllm-rocm
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2022-10-22 12:00:15 -06:00
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run-dev:
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2023-04-19 11:39:31 -06:00
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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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2024-07-20 11:02:04 -06:00
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poetry export -o requirements_cuda.txt --without-hashes
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2023-11-27 06:08:12 -07:00
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poetry export -o requirements_rocm.txt --without-hashes
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2024-07-20 11:02:04 -06:00
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poetry export -o requirements_intel.txt --without-hashes
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