Unsloth AI
@unslothai • Run and train AI models locally. 🦥. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
99%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
11 repos
Visible snapshot
7 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (6), C++ (3), Jupyter Notebook (2)
Average size
7.7K
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-09-04(2d ago)GitHub API fallback11 repositories
99%
of the visible star count comes from this organization's top three repositories.
7.7K
stars per repository in this same snapshot.
Python
is the most common language here, with 7 repositories updated in the last 90 days.
Why this rank
This organization stands out because one flagship repo drives 90% of its visible star count.
Flagship share 90%Breakout repo: unsloth
Organization pages work best when you separate portfolio breadth from flagship concentration. In Unsloth AI's case, the visible top three repositories account for about 99% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Python (6), C++ (3), Jupyter Notebook (2). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | unslothai/unsloth Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more. | Python | 75.7K |
| 2 | unslothai/notebooks 250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models. | Jupyter Notebook | 5.7K |
| 3 | unslothai/hyperlearn 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old. | Jupyter Notebook | 2.5K |
| 4 | unslothai/unsloth-zoo Utils for Unsloth https://github.com/unslothai/unsloth | Python | 324 |
| 5 | unslothai/llama.cpp LLM inference in C/C++ | C++ | 196 |
| 6 | unslothai/cut-cross-entropy Apple's Cut Cross Entropy | Python | 36 |
| 7 | unslothai/transformers 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. | Python | 15 |
| 8 | unslothai/gpt-oss gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI | Python | 13 |
| 9 | unslothai/stable-diffusion.cpp Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++ | C++ | 11 |
| 10 | unslothai/whisper.cpp Port of OpenAI's Whisper model in C/C++ | C++ | 8 |
| 11 | unslothai/unsloth-staging-1 Staging PRs for Unsloth | Python | 4 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.