unslothai/unsloth
- Source
- GitHub
- First trending
- Category
- Model inference
- GitHub stars
- 76,266
- Main language
- Python
This page introduces an external open-source repository. It is not an HDATF product.

What it does
Unsloth is a desktop app for running and training LLM, diffusion, embedding and audio models, including GGUF and MLX formats. Local models can also be used with Claude Code, Codex and MCP, together with web search and RAG.
How it helps ATF
Worth comparing when looking at local models as Harness executors, since it connects local models to Claude Code, Codex and MCP. It could also be a reference for AX consulting sites where models need to run on local hardware.
License
Apache-2.0 Permissive, with a patent grant. Commercial use is allowed; keep the notices and state your changes.
More in this category
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A serving engine for running large open-weight Mixture-of-Experts models on personal hardware by splitting work across GPUs, CPUs and memory. It exposes Anthropic- and OpenAI-compatible APIs so coding agents can connect. - lyogavin/airllm
AirLLM lowers the GPU memory needed for large language model inference by loading model layers one at a time, so a 70B model can run on a single 4GB GPU without quantization, distillation or pruning. Training support was added too. - sgl-project/sglang
A serving framework for large language models and multimodal models. It serves open models such as DeepSeek, Qwen, Llama and GLM, and also covers diffusion models for image and video generation.
Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.