Unsloth
Unsloth is an open-source, no-code desktop UI for running AND training AI models on your own local hardware. Available for macOS, Windows and Linux.
Unsloth was made famous as the fastest fine-tuning library (~2x faster training with ~70% less VRAM usage, no accuracy loss). The new Unsloth Desktop adds local inference, image and video generation on top of that, so you can run and train 500+ models in one free app.
Key features:
- Train & run 500+ models (Qwen3.8, DeepSeek V4, Kimi K3, GLM, Gemma, Llama, Mistral, etc.) with Day Zero support for new releases
- Fastest fine-tuning: ~2x faster with ~70% less VRAM (no accuracy loss), plus the most efficient RL library (GRPO) using 80% less VRAM
- No-code workflows: auto-create datasets from PDF/CSV/DOCX, edit data in a visual node workflow, monitor training live
- Local image/video generation (FLUX, Z-Image, MiniMax-H3, Wan) and LoRA adapters
- Coding-agent integration:
unsloth start claude / codex / opencodeconnects local models to your favorite agents - Advanced web search, self-healing tool calling and sandboxed Bash/Python code execution
- OpenAI-compatible API and a free Cloudflare tunnel to access models anywhere
- Free and open-source, 100% local
vs Ollama and LM Studio
All three let you run open LLMs locally for free. Ollama is a lightweight CLI/server runner (ollama run, huge model library, OpenAI-compatible API) aimed at developers and automation, but it does not train models. LM Studio is a polished GUI desktop app for discovering, downloading and chatting with local LLMs (llama.cpp/MLX) with a local API server and agent features, but it also offers no model training.
Unsloth is the only one of the three where fine-tuning/training is a first-class feature in a desktop GUI, alongside local inference, diffusion image/video generation, dataset workflows and coding-agent integration — a complete local AI workspace for running and training models.
Unsloth vs Ollama vs LM Studio Comparison
| Feature | Unsloth | Ollama | LM Studio |
|---|---|---|---|
| Type | Desktop app (GUI + Python library) | CLI runner + REST server | Desktop app (GUI) |
| Platforms | macOS, Windows, Linux | macOS, Linux, Windows | macOS, Windows, Linux |
| Run local LLMs | Yes, 500+ models with Day Zero support (GGUF, LoRA, safetensors) | Yes, huge model library | Yes, Hugging Face GGUF models |
| Fine-tuning / Training | Yes, ~2x faster with ~70% less VRAM (no accuracy loss) | No | No |
| Reinforcement learning (RL) | Yes, most efficient GRPO with 80% less VRAM | No | No |
| Image / video generation | Yes, FLUX, Z-Image, MiniMax-H3, Wan + LoRA adapters | No | No |
| Dataset workflows | Yes, auto-create datasets from PDF/CSV/DOCX with visual node editor | No | No |
| Coding-agent integration | Yes, unsloth start claude / codex / opencode | Yes, launch agents via CLI and API | Yes, agent mode (Bionic) and LM Link |
| Web search and tool calling | Built-in web search, self-healing tool calls, sandboxed code execution | Third-party integrations | Third-party integrations |
| API | OpenAI-compatible API + free Cloudflare tunnel for remote access | OpenAI-compatible API server | Local OpenAI-compatible API server |
| Model hub | Built-in hub with automatic quantization selection | ollama.com library (1000s of models) | LM Studio Hub (Hugging Face catalog) |
| Cost | Free and open-source | Free and open-source | Freemium |