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
69,147 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/
type: website
services:
require_ci_to_pass: yes
<picture>
python: python3
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)
generic skill
[*]
language: "en-US"
exclude = tests
source = axolotl
<img src="https://raw.githubusercontent.com/huggingface/alignment-handbook/main/assets/handbook.png">
__pycache__/
> [!NOTE]
<div style="text-align: center">
.gitattributes
- repo: https://github.com/astral-sh/ruff-pre-commit
We as members, contributors, and leaders pledge to make participation in our
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
__pycache__/