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Unsloth

Fine-tune LLMs 2x faster with 80% less memory

Open SourceSelf HostedOffline CapableGPU Required (8GB+ VRAM)
0.0 (0)

About

Unsloth is a library for faster LLM fine-tuning and inference that patches Hugging Face training internals to use less memory and run on consumer GPUs. It supports LoRA, QLoRA, and full fine-tuning across Llama, Mistral, Qwen, Gemma, and other families, on Linux, Windows, WSL, and macOS via Unsloth Studio or the code-based Unsloth Core. The project also publishes pre-quantized GGUF model exports on Hugging Face.

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Details

Price
Free
Platform
Local/Desktop
Difficulty
Intermediate (3/5)
License
Apache-2.0
Minimum VRAM
8 GB
Added
Jan 29, 2026

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