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...
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.
- pre-commit
d6953beb91da4e9c99be4c0a1304a2d24189535c
/vllm/_version.py
version: 2
indent: 4
source =
UseTab: Never
/build
- 🤗 Try the pretrained model out here, courtesy of a GPU grant from Huggingface!
services:
.github
7B/
| Paper | Adapter Weights | Demo |
output/
services:
type: website
requirecito_pass: yes
python: python3
- 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