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Baixar Unsloth 0.1.905-beta per a Windows

The first desktop app to run and train AI models locally.

Unsloth AI Assistents d’IA i LLM #61 Assistents d’IA i LLM
Aquesta és una versió anterior. La versió actual és la 0.1.916-beta. Unsloth 0.1.916-beta · Data de publicació:

Fitxers d’instal·lació 0.1.905-beta

ArquitecturaTipusÀmbitMida del fitxerBaixaSHA256
64 bits EXE (NSIS) Usuari actual — github.com VirusTotal
ARM64 EXE (NSIS) Usuari actual — github.com VirusTotal

L’enllaç i l’SHA256 provenen del manifest comunitari del Gestor de paquets del Windows. Convé comparar el hash del fitxer baixat abans d’executar-lo.

Notes de la versió

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 at https://unsloth.ai/docs/basics/train-your-own-decision-model-with-unsloth
Diffusion + ComfyUI
- Run supported ComfyUI image and video models directly from Hugging Face.
- Unsloth now recognises ComfyUI checkpoints and local model folders automatically.
- Use your ComfyUI text encoders and VAEs in Unsloth.
- Run Krea-2, HunyuanImage-2.1 and Wan2.2 expert pairs, plus ComfyUI NVFP4 and MXFP8 models.
- Qwen-Image-2.1 now keeps more full-precision image detail with INT8 ConvRot enabled by default.
- Faster Qwen-Image-2.1 ConvRot generation on supported NVIDIA GPUs.
Training + performance
- Train Qwen3.5-35B-A3B up to 4.1x faster and Qwen3-30B-A3B up to 3.3x faster with QLoRA on A100 and RTX PRO 6000.
- Improved sample packing for gated-delta, Mamba2 and short-convolution models.
- Train prompt and completion message lists as one conversation.
- Vision datasets now keep each row's own question.
- Chat exports and training data now include the system prompt.
Browser + Desktop
- Ask about open pages in the Desktop Browser.
- Confirm Browser downloads and choose where files are saved.
- Reorder pinned pages in the sidebar like chats.
- Search continues past unusable results and can fall back to Wikipedia.
- Reply citations such as [1] now open as links.
- Pick, pin or unload RAG embedding models directly from the RAG menu.
Sandboxing
- Bwrap on Linux, Seatbelt on Mac and MXC on Windows sandbox code the model runs.
- View sandbox status and choose protection levels in Settings.

https://github.com/unslothai/unsloth/releases/tag/v0.1.905-beta

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