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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

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.

rules currently disabled:

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Read the Docs configuration file

version: 2

Migrate from yapf & isort to ruff

d6953beb91da4e9c99be4c0a1304a2d24189535c

defaultinstallhook_types:

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MD007:

indent: 4

version file generated by setuptools-scm

/vllm/_version.py

BasedOnStyle: Google

UseTab: Never

[run]

source =

/.venv

/build

🦙🌲🤏 Alpaca-LoRA

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

version: '3'

services:

out/

7B/

.venv

.github

QLoRA: Efficient Finetuning of Quantized LLMs

| Paper | Adapter Weights | Demo |

wandb/

output/

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services:

project:

type: website

codecov:

requirecito_pass: yes

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