site_name: vLLM
siteurl: !ENV READTHEDOCSCANONICAL_URL
Explore
139,239 skills indexed with the new KISS metadata standard.
siteurl: !ENV READTHEDOCSCANONICAL_URL
requirecito_pass: false
Please report security issues privately using the vulnerability submission form.
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...
We as members, contributors, and leaders pledge to make participation in our
vllm/model_executor/layers/fla/ops/*.py
disable=SC1091,SC2004,SC2129,SC2155,SC2164
You may find information about contributing to vLLM on docs.vllm.ai.
- pre-commit
indent: 4
/vllm/_version.py
d6953beb91da4e9c99be4c0a1304a2d24189535c
version: 2
UseTab: Never
/build
source =
- 🤗 Try the pretrained model out here, courtesy of a GPU grant from Huggingface!
services:
.github
7B/
| Paper | Adapter Weights | Demo |
output/
services: