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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
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# Introducing Unsloth Studio

**[Hacker News](https://daily.dev/sources/hn)** · 6 min read · 1 upvotes · 0 comments

## Summary

Unsloth Studio is a new open-source, no-code web UI for running, training, and exporting AI models entirely locally. It supports 500+ models with 2x faster training and 70% less VRAM, works on Windows, Linux, and macOS (chat-only for now), and requires no dataset — it can auto-generate one from PDFs, CSVs, JSON, and other files. Key features include GGUF and safetensor model inference, LoRA/FP8/FFT fine-tuning on NVIDIA GPUs, a Data Recipes pipeline powered by NVIDIA DataDesigner, real-time training observability, model export to multiple formats, and a Model Arena for side-by-side comparison. Installation is via pip or Docker, and a free Google Colab notebook is available. Apple MLX, AMD, and Intel support are coming soon.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://unsloth.ai/docs/new/studio>

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- [Hands-on with Unsloth Desktop, for running and training LLMs locally](https://daily.dev/posts/hands-on-with-unsloth-desktop-for-running-and-training-llms-locally-jewiyaemk) · InfoWorld · 0 upvotes · 0 comments

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