Unsloth

Turn any text or vision LLM into a Jev-style decision model in Unsloth, with decision accuracy going from 30% to 80%. Train, test, export and serve decision models directly from Unsloth. Also included: native ComfyUI models, diffusion improvements and a better Browser in Desktop.

## Highlights

- **8th Oct Fixes** - Better Browser + 100+ bug fixes + perf fixes
- **Sandboxing** with Bwrap for Linux, Seatbelt for Mac and MXC for Windows
- **Turn any model into a Jev-style decision model.** Accuracy went from 30% to 80%
- **Load ComfyUI diffusion models** natively in Unsloth
- **Faster + more accurate diffusion** with INT8 ConvRot and more

https://github.com/user-attachments/assets/92959172-d2a2-450b-a5bf-6369a1e5ae16

## Decision models

- Train any text or vision LLM as a Jev-style decision model using QLoRA.
- Test trained models directly from the Decision API settings.
- Make decisions with confidence scores for every option.
- Export Clef models with Qwen3.5 backbones and Laya models to GGUF.
- Serve supported decision models through llama.cpp, including models that understand images.
- Save and resume smaller adapter and decision-head checkpoints.
- Guide a