vLLM Code of Conduct
We as members, contributors, and leaders pledge to make participation in our
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119,177 skills indexed with the new KISS metadata standard.
We as members, contributors, and leaders pledge to make participation in our
vllm/model_executor/layers/fla/ops/*.py
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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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- pre-commit
version: 2
indent: 4
/vllm/_version.py
d6953beb91da4e9c99be4c0a1304a2d24189535c
/build
source =
UseTab: Never
- 🤗 **Try the pretrained model out [here](https://huggingface.co/spaces/tloen/alpaca-lora), courtesy of a GPU grant from Huggingface!**
services:
.github
7B/
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
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- 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](https://github.com/huggingface/transformers/pull/22874)