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vLLM Code of Conduct
We as members, contributors, and leaders pledge to make participation in our
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...
Contributing to vLLM
You may find information about contributing to vLLM on docs.vllm.ai.
rules currently disabled:
disable=SC1091,SC2004,SC2129,SC2155,SC2164
version file generated by setuptools-scm
/vllm/_version.py
defaultinstallhook_types:
- pre-commit
Migrate from yapf & isort to ruff
d6953beb91da4e9c99be4c0a1304a2d24189535c
MD007:
indent: 4
Read the Docs configuration file
version: 2
[run]
source =
/.venv
/build
BasedOnStyle: Google
UseTab: Never
version: '3'
services:
🦙🌲🤏 Alpaca-LoRA
- 🤗 Try the pretrained model out here, courtesy of a GPU grant from Huggingface!
.venv
.github
out/
7B/
QLoRA: Efficient Finetuning of Quantized LLMs
| Paper | Adapter Weights | Demo |
wandb/
output/
version: '3.8'
services:
project:
type: website
codecov:
requirecito_pass: yes
defaultlanguageversion:
python: python3
FAQs
- 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