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Releasing vLLM

vLLM releases offer a reliable version of the code base, packaged into a binary format that can be conveniently accessed via PyPI. These releases also serve as key milestones for the development team...

vLLM Code of Conduct

We as members, contributors, and leaders pledge to make participation in our

collect_env.py

vllm/model_executor/layers/fla/ops/*.py

Contributing to vLLM

You may find information about contributing to vLLM on docs.vllm.ai.

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version file generated by setuptools-scm

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Migrate from yapf & isort to ruff

d6953beb91da4e9c99be4c0a1304a2d24189535c

Read the Docs configuration file

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[run]

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🦙🌲🤏 Alpaca-LoRA

- 🤗 Try the pretrained model out here, courtesy of a GPU grant from Huggingface!

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services:

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out/

7B/

QLoRA: Efficient Finetuning of Quantized LLMs

| Paper | Adapter Weights | Demo |

wandb/

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