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
100,489 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) |
type: website
services:
require_ci_to_pass: yes
- 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)
configs
<picture>
python: python3
generic skill
[*]
exclude = tests
language: "en-US"
source = axolotl
__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.
- repo: https://github.com/astral-sh/ruff-pre-commit
<div style="text-align: center">
We as members, contributors, and leaders pledge to make participation in our
.gitattributes
- repo: https://github.com/astral-sh/ruff-pre-commit
__pycache__/
Copyright 2023 The HuggingFace Team. All rights reserved.