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) |
Explore
61,767 skills indexed with the new KISS metadata standard.
| [Paper](https://arxiv.org/abs/2305.14314) | [Adapter Weights](https://huggingface.co/timdettmers) | [Demo](https://huggingface.co/spaces/uwnlp/guanaco-playground-tgi) |
output/
require_ci_to_pass: yes
type: website
services:
<picture>
python: python3
generic skill
configs
- 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)
source = axolotl
[*]
language: "en-US"
exclude = tests
__pycache__/
<img src="https://raw.githubusercontent.com/huggingface/alignment-handbook/main/assets/handbook.png">
> [!NOTE]
Everyone is welcome to contribute, and we value everybody's contribution. Code contributions are not the only way to help the community. Answering questions, helping others, and improving the documentation are also immensely valuable.
.gitattributes
- repo: https://github.com/astral-sh/ruff-pre-commit
We as members, contributors, and leaders pledge to make participation in our
<div style="text-align: center">
Copyright 2023 The HuggingFace Team. All rights reserved.
- repo: https://github.com/astral-sh/ruff-pre-commit