Skip to content

Add Space to Bitsandbytes doc #36834

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
MekkCyber merged 2 commits into from
Mar 19, 2025
Merged

Add Space to Bitsandbytes doc #36834

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
613cd10
add space
MekkCyber Mar 19, 2025
059f42e
address review
MekkCyber Mar 19, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 4 additions & 1 deletion docs/source/en/quantization/bitsandbytes.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,10 @@ rendered properly in your Markdown viewer.

[LLM.int8()](https://hf.co/papers/2208.07339) is a quantization method that aims to make large language model inference more accessible without significant degradation. Unlike naive 8-bit quantization, which can result in loss of critical information and accuracy, LLM.int8() dynamically adapts to ensure sensitive components of the computation retain higher precision when needed.

QLoRA, or 4-bit quantization, compresses a model even further to 4-bits and inserts a small set of trainable low-rank adaptation (LoRA) weights to allowing training.
QLoRA, or 4-bit quantization, compresses a model even further to 4-bits and inserts a small set of trainable low-rank adaptation (LoRA) weights to allowing training.

> **Note:** For a user-friendly quantization experience, you can use the `bitsandbytes` [community space](https://huggingface.co/spaces/bnb-community/bnb-my-repo).


Run the command below to install bitsandbytes.

Expand Down
11 changes: 10 additions & 1 deletion docs/source/en/quantization/overview.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -46,4 +46,13 @@ Use the Space below to help you pick a quantization method depending on your har
If you are new to quantization, we recommend checking out these beginner-friendly quantization courses in collaboration with DeepLearning.AI.

* [Quantization Fundamentals with Hugging Face](https://www.deeplearning.ai/short-courses/quantization-fundamentals-with-hugging-face/)
* [Quantization in Depth](https://www.deeplearning.ai/short-courses/quantization-in-depth
* [Quantization in Depth](https://www.deeplearning.ai/short-courses/quantization-in-depth)

## User-Friendly Quantization Tools

If you are looking for a user-friendly quantization experience, you can use the following community spaces and notebooks:

* [Bitsandbytes Space](https://huggingface.co/spaces/bnb-community/bnb-my-repo)
* [GGUF Space](https://huggingface.co/spaces/ggml-org/gguf-my-repo)
* [MLX Space](https://huggingface.co/spaces/mlx-community/mlx-my-repo)
* [AuoQuant Notebook](https://colab.research.google.com/drive/1b6nqC7UZVt8bx4MksX7s656GXPM-eWw4?usp=sharing#scrollTo=ZC9Nsr9u5WhN)