UnslothAI

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

UnslothAI was founded in 2023 with the mission of making large language model fine-tuning dramatically faster and more accessible. The company's core product is the Unsloth library, an open-source Python package that optimizes the fine-tuning process for popular open-source LLMs. By manually deriving backpropagation steps and leveraging custom CUDA kernels, Unsloth achieves significant speedups over standard training approaches. The Unsloth library supports a wide range of models including Meta's Llama family, Mistral, Qwen, Gemma, and Phi models. It integrates seamlessly with Hugging Face's ecosystem and supports both LoRA and QLoRA fine-tuning methods. Users can fine-tune models on a single GPU, with Unsloth's memory optimizations enabling training that would otherwise require much more expensive hardware. The company has gained significant traction in the AI community, with their GitHub repository accumulating tens of thousands of stars and widespread adoption among AI researchers and practitioners. Unsloth has been particularly popular for fine-tuning models for domain-specific applications, chat assistants, and specialized tasks where full-scale training is prohibitively expensive. UnslothAI represents a growing category of AI infrastructure companies focused on making AI development more efficient and accessible. Rather than building frontier models, Unsloth focuses on the critical step of adapting existing models to specific use cases—a bottleneck for many organizations looking to deploy AI.