Find agent skills by outcome

site_name: vLLM

siteurl: !ENV READTHEDOCSCANONICAL_URL

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

Untitled Skill

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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🦙🌲🤏 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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