Unsloth

Health v2 · maintenance only

Adoption not part of the score

74883 stars · 6781 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Unsloth is a desktop application for running and fine-tuning LLMs, diffusion, embedding, and audio models locally, with support for NVIDIA, AMD, Intel GPUs, CPUs, and Vulkan. It also provides a Python library and free notebooks for fast model fine-tuning.

Use cases

• fine-tune llama or qwen models locally
• run deepseek and gemma models on my own gpu
• train a stable diffusion or flux image model
• fine-tune an llm with a gui without writing code
• run reinforcement learning training for llms
• self-host a chatgpt-like assistant
• fine-tune text-to-speech models

When to choose

• you want a desktop UI to run and train models locally
• you need fast fine-tuning with limited GPU memory
• you want multi-GPU and multi-vendor GPU support
• you prefer ready-made training notebooks

When to avoid

• you need a headless server-side inference API at scale
• you only want cloud-hosted model training
• you need non-Python tooling

Facets

application · maturity active

llm-inference llm-training machine-learning stable-diffusion tts agent-framework gui large-language-models machine-learning deep-learning artificial-intelligence image-processing speech-processing windows python fine-tuning desktop-app local-llm diffusion-models qlora self-hosted multi-gpu macos linux desktop gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="unslothai/unsloth")