General
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vLLM Code of Conduct
We as members, contributors, and leaders pledge to make participation in our
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MD007:
indent: 4
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version file generated by setuptools-scm
/vllm/_version.py
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Migrate from `yapf` & `isort` to `ruff`
d6953beb91da4e9c99be4c0a1304a2d24189535c
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Read the Docs configuration file
version: 2
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default_install_hook_types:
- pre-commit
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BasedOnStyle: Google
UseTab: Never
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/.venv
/build
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[run]
source =
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🦙🌲🤏 Alpaca-LoRA
- 🤗 **Try the pretrained model out [here](https://huggingface.co/spaces/tloen/alpaca-lora), courtesy of a GPU grant from Huggingface!**
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version: '3'
services:
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out/
7B/
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.venv
.github
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wandb/
output/
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QLoRA: Efficient Finetuning of Quantized LLMs
| [Paper](https://arxiv.org/abs/2305.14314) | [Adapter Weights](https://huggingface.co/timdettmers) | [Demo](https://huggingface.co/spaces/uwnlp/guanaco-playground-tgi) |
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version: '3.8'
services:
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codecov:
require_ci_to_pass: yes
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project:
type: website
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**/axolotl.egg-info
configs
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<p align="center">
<picture>
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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](https://github.com/huggingface/transformers/pull/22874)
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default_language_version:
python: python3
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data/*.jsonl filter=lfs diff=lfs merge=lfs -text
generic skill
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[run]
source = axolotl
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