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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...

Contributing to vLLM

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

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collect_env.py

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

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vLLM Code of Conduct

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Read the Docs configuration file

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🦙🌲🤏 Alpaca-LoRA

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

.venv

.github

out/

7B/

QLoRA: Efficient Finetuning of Quantized LLMs

| Paper | Adapter Weights | Demo |

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