# Unsloth

> Fast local fine-tuning and running of LLMs

Fine-tune and run open models faster with less memory, now with a local UI. Supports GGUF, MLX and many model families.

- Source: https://github.com/unslothai/unsloth
- Homepage: https://unsloth.ai/docs
- License: Apache-2.0
- Language: Python
- Stars: 77150
- Forks: 7091
- Contributors: 386
- Last commit: 2026-10-03
- Latest release: v0.1.902-beta (2026-10-01)
- Purpose: AI & LLM tooling, Local inference
- Runs on: Web, Library / SDK
- For: Personal, Enterprise

## Worth score: 81/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 24/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 14/15
- Readiness: 8/15

## Alternatives

- [llama.cpp](https://diggithub.com/ggml-org/llama.cpp.md): LLM inference in C/C++ on CPUs and GPUs
- [vLLM](https://diggithub.com/vllm-project/vllm.md): High-throughput LLM serving engine
- [SGLang](https://diggithub.com/sgl-project/sglang.md): Fast serving framework for LLMs
- [OpenVINO](https://diggithub.com/openvinotoolkit/openvino.md): Optimize and deploy AI inference
- [whisper.cpp](https://diggithub.com/ggml-org/whisper.cpp.md): Whisper speech recognition in C/C++
- [AirLLM](https://diggithub.com/lyogavin/airllm.md): Run 70B models on a 4GB GPU
- [RunAnywhere SDKs](https://diggithub.com/RunanywhereAI/runanywhere-sdks.md): Run AI locally on devices
- [Text Generation WebUI](https://diggithub.com/oobabooga/textgen.md): Desktop app for running local LLMs

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Source page: https://diggithub.com/unslothai/unsloth
Updated: 2026-10-03