Introducing Unsloth Desktop π¦₯ The first desktop app to run and train models locally.
β’ Open-source. Runs on Mac, Windows and Linux β’ Supports MLX, diffusion image/video, audio, GGUF β’ Connect Claude Code and Codex to local LLMs β’ 50% more accurate, self-healing tool calls + sandboxed code exec β’ Works for CPU + multiGPU setups - NVIDIA, AMD, Intel, Mac β’ Train models 2Γ faster with 70% less VRAM β’ Private web search, deep research, RAG, MCP and exports (NVFP4, GGUF) β’ Use Unslothβs OpenAI-compatible API and cloud models β’ Securely deploy LLMs remotely and access anywhere
Introducing Unsloth for AMD π You can now train & run LLMs on your AMD hardware
β’ We collaborated with AMD to enable you to train & run 500+ models on AMD GPUs β’ Works on Windows, WSL, Linux β’ Train Qwen, Gemma on just 3GB VRAM
Weβre excited to announce that Unsloth has joined the PyTorch Ecosystem! π₯π¦₯
Unsloth is an open-source project that makes training & running models more accurate and faster with less compute. Our mission is to make local AI accessible to everyone. Thanks to all of you for making this possible! π
π§ͺ Running an eval that executes model-generated C on a few thousand prompts? You probably don't want any of that on your laptop. Just shipped hf-sandbox, a Modal-style sandbox API on top of Hugging Face Jobs. Spin up an isolated, ephemeral container, run untrusted code, get the result back. No Docker on your laptop, no infra to manage.