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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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Contributing to vLLM
You may find information about contributing to vLLM on docs.vllm.ai.
MD007:
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Read the Docs configuration file
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version file generated by setuptools-scm
/vllm/_version.py
Migrate from yapf & isort to ruff
d6953beb91da4e9c99be4c0a1304a2d24189535c
[run]
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UseTab: Never
/.venv
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🦙🌲🤏 Alpaca-LoRA
- 🤗 Try the pretrained model out here, courtesy of a GPU grant from Huggingface!
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services:
out/
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.venv
.github
QLoRA: Efficient Finetuning of Quantized LLMs
| Paper | Adapter Weights | Demo |
wandb/
output/
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codecov:
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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
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