unsloth
A web UI and optimization library for running and fine-tuning open-source AI models locally with 2x faster training and 70% less VRAM.
What is unsloth?
Unsloth is a web UI and optimization library that enables developers to run and fine-tune open-source AI models locally on their own machines. It solves the problem of expensive and resource-intensive AI model training by providing 2x faster training speeds and up to 70% less VRAM usage without accuracy loss. The platform supports text, audio, embedding, and vision models across Windows, Linux, and macOS systems.
AI researchers, machine learning engineers, and developers who want to customize and deploy open-source LLMs locally without relying on cloud services or expensive hardware. It's particularly valuable for teams working with models like Qwen3.5, Gemma 4, DeepSeek, and gpt-oss.
Developers choose Unsloth because it dramatically reduces the computational cost and time required for AI model training while maintaining full local control. Its unique optimization kernels and efficient memory management make state-of-the-art model customization feasible on consumer-grade GPUs.
Overview
Web UI for training and running open models like Gemma 4, Qwen3.5, DeepSeek, gpt-oss locally.
Use Cases
Best For
- Fine-tuning open-source LLMs on local hardware with limited VRAM
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