site_name: vLLM
siteurl: !ENV READTHEDOCSCANONICAL_URL
Explore
130,988 skills indexed with the new KISS metadata standard.
siteurl: !ENV READTHEDOCSCANONICAL_URL
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
You may find information about contributing to vLLM on docs.vllm.ai.
disable=SC1091,SC2004,SC2129,SC2155,SC2164
indent: 4
version: 2
- pre-commit
d6953beb91da4e9c99be4c0a1304a2d24189535c
/vllm/_version.py
source =
UseTab: Never
/build
- 🤗 Try the pretrained model out here, courtesy of a GPU grant from Huggingface!
services:
7B/
.github
| Paper | Adapter Weights | Demo |
output/
services:
type: website