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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...

Contributing to vLLM

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

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Read the Docs configuration file

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Migrate from yapf & isort to ruff

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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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Untitled Skill

FAQs

- Can you train StableLM with this? Yes, but only with a single GPU atm. Multi GPU support is coming soon! Just waiting on this PR