Releasing vLLM
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...
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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. These releases also serve as key milestones for the development team...
You may find information about contributing to vLLM on docs.vllm.ai.
disable=SC1091,SC2004,SC2129,SC2155,SC2164
version: 2
/vllm/_version.py
- pre-commit
d6953beb91da4e9c99be4c0a1304a2d24189535c
indent: 4
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/
type: website
requirecito_pass: yes
services:
- 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
python: python3
configs