#1 · Primary category： MLOps & Evaluation
unsloth
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, FLUX and more.
Project last updated：08/29/26
GitHub Stars
75.2K
Forks
6.8K
Contributors
300
License
Apache-2.0
Why we included this project
Fine-tuning an open model on your own hardware usually means wrestling with VRAM limits and long training runs. Unsloth tackles that directly with optimized kernels for models like Llama, Qwen, Gemma, and DeepSeek, cutting memory use and speeding up training noticeably. The current release also adds a local web UI for downloading, running, and exporting models to formats like GGUF, alongside notebook workflows and a one-command install that make iterating fast. It covers training through local inference, including API endpoints for wiring the fine-tuned model into other tools. If you'd rather own the fine-tuning step than depend on hosted APIs, this is a solid place to start.
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