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vLLM Code of Conduct

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

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...

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Contributing to vLLM

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

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🦙🌲🤏 Alpaca-LoRA

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

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QLoRA: Efficient Finetuning of Quantized LLMs

| Paper | Adapter Weights | Demo |

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