vLLM Code of Conduct
We as members, contributors, and leaders pledge to make participation in our
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118,187 skills indexed with the new KISS metadata standard.
We as members, contributors, and leaders pledge to make participation in our
vLLM releases offer a reliable version of the code base, packaged into a binary format that can be conveniently accessed via [PyPI](https://pypi.org/project/vllm). These releases also serve as key milestones for the development team to communicate with the community about newly available features, i
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vllm/model_executor/layers/fla/ops/*.py
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You may find information about contributing to vLLM on [docs.vllm.ai](https://docs.vllm.ai/en/latest/contributing).
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version: 2
- pre-commit
/vllm/_version.py
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/build
source =
UseTab: Never
services:
- 🤗 **Try the pretrained model out [here](https://huggingface.co/spaces/tloen/alpaca-lora), courtesy of a GPU grant from Huggingface!**
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.github
output/
| [Paper](https://arxiv.org/abs/2305.14314) | [Adapter Weights](https://huggingface.co/timdettmers) | [Demo](https://huggingface.co/spaces/uwnlp/guanaco-playground-tgi) |
services:
require_ci_to_pass: yes
type: website
configs