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
93,581 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
services:
type: website
configs
<picture>
- 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)
python: python3
generic skill
[*]
source = axolotl
language: "en-US"
exclude = tests
<img src="https://raw.githubusercontent.com/huggingface/alignment-handbook/main/assets/handbook.png">
__pycache__/
> [!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
We as members, contributors, and leaders pledge to make participation in our
.gitattributes
<div style="text-align: center">
- repo: https://github.com/astral-sh/ruff-pre-commit
__pycache__/