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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...

collect_env.py

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

vLLM Code of Conduct

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

Contributing to vLLM

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

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defaultinstallhook_types:

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Migrate from yapf & isort to ruff

d6953beb91da4e9c99be4c0a1304a2d24189535c

MD007:

indent: 4

version file generated by setuptools-scm

/vllm/_version.py

Read the Docs configuration file

version: 2

/.venv

/build

BasedOnStyle: Google

UseTab: Never

[run]

source =

version: '3'

services:

🦙🌲🤏 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 |

wandb/

output/

version: '3.8'

services:

project:

type: website

codecov:

requirecito_pass: yes

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