Fine-tune LLMs 2-30x faster with 90% less memory
Unsloth is an open-source framework for fine-tuning large language models dramatically faster while using far less GPU memory. Achieves 2x speed on single GPU (free version) up to 32x on multi-GPU clusters (enterprise). Reduces VRAM usage by 60-90%, enabling fine-tuning on consumer hardware. Supports Llama, Mistral, Gemma, Qwen and other popular models with LoRA and QLoRA methods. Works on NVIDIA GPUs from T4 to H100 with portable support for AMD and Intel. Free notebooks available for Google Colab and Kaggle. Y Combinator backed.
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