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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.

rules currently disabled:

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defaultinstallhook_types:

- pre-commit

MD007:

indent: 4

Read the Docs configuration file

version: 2

version file generated by setuptools-scm

/vllm/_version.py

Migrate from yapf & isort to ruff

d6953beb91da4e9c99be4c0a1304a2d24189535c

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/

project:

type: website

version: '3.8'

services:

codecov:

requirecito_pass: yes

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