site_name: vLLM
siteurl: !ENV READTHEDOCSCANONICAL_URL
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siteurl: !ENV READTHEDOCSCANONICAL_URL
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requirecito_pass: false
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.
/vllm/_version.py
d6953beb91da4e9c99be4c0a1304a2d24189535c
- pre-commit
indent: 4
version: 2
source =
UseTab: Never
/build
- 🤗 Try the pretrained model out here, courtesy of a GPU grant from Huggingface!
services:
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7B/
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output/
requirecito_pass: yes