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
115,249 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) |
require_ci_to_pass: yes
services:
type: website
configs
generic skill
python: python3
- 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)
<picture>
language: "en-US"
[*]
exclude = tests
source = axolotl
<img src="https://raw.githubusercontent.com/huggingface/alignment-handbook/main/assets/handbook.png">
__pycache__/
> [!NOTE]
.gitattributes
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.
<div style="text-align: center">
We as members, contributors, and leaders pledge to make participation in our
- repo: https://github.com/astral-sh/ruff-pre-commit
- repo: https://github.com/astral-sh/ruff-pre-commit
__pycache__/
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