Baixar Unsloth 0.1.910-beta per a Windows

Recursive's Flint, MOSS-Image and NVIDIA's Nemotron Bolt 4B are here! Run them locally in Unsloth. Also new: a chat-only Unsloth Desktop install, MLX MoE models bigger than your Mac's memory and an OpenAI-compatible fine-tuning API.
Highlights
- Bigger MoE models on Mac: MLX MoE models too big for memory keep experts on SSD, so Qwen3.8-Flash-Next runs on a 32 GB Mac.
- Chat-only install: a much smaller Unsloth Desktop for GGUF chat; add training later in Settings.
- Flint: Recursive's 40B coding-agent MoE, runs in 24 GB at 3-bit Guide
- MOSS-Image: 5.1B image model designed for top-tier generation GGUF + FP8
- NVIDIA Nemotron 3.5 Bolt E4B: NVIDIA's new Gemma 4 E4B fine-tune, 63.2 on Tau2-Bench vs the original's 38.7 Guide
- MoE expert pruning: Export a smaller MoE model by removing 25% or 50% of its least useful experts with REAP.
- UI overhaul: More consistent UI across Unsloth
Images + video
- Generate images containing English or Chinese text with OpenMOSS's 5.1B MOSS-Image, SFT or Base. GGUF · Base GGUF
- MOSS-Image, the new image model, runs on 16 GB GPUs; its GGUFs also run on Macs and computers without a supported GPU.
- Most image and video models too big for one GPU now split across your NVIDIA GPUs, if they fit, instead of streaming from system memory.
- The new Hires fix upscales and refines a render in one step on SDXL, FLUX.1, Qwen-Image and Z-Image.
- The new Compare grid renders one prompt while varying up to three settings, such as seed, CFG or LoRA weight, in labelled grids.
- SDXL safetensors get AUTOMATIC1111-style prompt weighting, CLIP skip, CFG rescale, variation seeds and textual inversion.
- Pasted AUTOMATIC1111, Forge or Civitai parameter blocks fill in the Images page settings.
- If SAM 3 isn't already downloaded, the Mask from text tool now uses SAM 3.1: smaller, with no Hugging Face login.
Chat + Desktop
- Pick Chat only (GGUF) when first launching Unsloth Desktop for a much smaller install; add training later in Settings.
- Settings > Chat now lets you view, edit, clear or turn off the memory notes Unsloth sends to every chat.
- In document-search chats, Show passages lists the exact text the model got and opens each passage at its page.
- The Audio page can speak and transcribe via a saved API connection, such as OpenAI or a local server.
- Unsloth installs, updates and pip install -U unsloth now reject eMudhra's compromised emSign certificates, which let attackers impersonate websites. The optional vLLM and SGLang engines still trust them.
Flint
- Run Recursive's Flint, a 40B MoE model with 2.5B active parameters for coding agents, with reasoning, tool use and 256K context. Guide · GGUF
- At 3-bit, Flint fits in 24 GB at short contexts.
- On SWE-bench Pro v2, Flint scores 89.7 vs Qwen 3.6's 73.8.
NVIDIA Nemotron 3.5 Bolt E4B
- Run and fine-tune NVIDIA's Gemma Nemotron 4B, a Gemma 4 E4B reasoning tune for tool calling and instruction following.
- Gemma Nemotron 4B beats Gemma 4 E4B on 16 of 21 NVIDIA tests, gaining most in tool use and multi-turn chat.
- DPO on Gemma 4 E2B and E4B, including Gemma Nemotron 4B, no longer crashes.
Training
- Fine-tuning Whisper, Canary, Moonshine, Dia and CTC speech models with FastModel no longer fails.
- Parakeet, Canary and CTC speech training uses up to 55% less memory.
- The new Books & Documents to Text recipe in Data Recipes turns ebooks and documents into a pretraining text dataset, no model needed.
- On Windows and Linux, the Export page can now prune 25% or 50% of a MoE model's least useful experts with REAP, at some quality cost.
- In Python, reap_prune runs REAP expert pruning up to 54x faster than llm-compressor's.
- unsloth train now trains vision and, except on Mac, audio models.
- Unsloth now supports OpenAI's fine-tuning API, so OpenAI's SDK can upload datasets and run supervised fine-tuning of local models.
Performance
- MLX MoE models too big for your Mac keep experts on SSD, with slower replies. Qwen3.8-Flash-Next fits a 32 GB Mac; DeepSeek-V4-Flash and GLM-5.3-Flash need far less memory than their size.
- DPO and other training that pads sequences runs up to 3.8x faster with less memory on NVIDIA Ampere or newer.
- Qwen3-MoE, Gemma 3 and Gemma 4 training on GPUs without bf16 now uses up to 7x less attention memory with torch 2.13 or older.
Coding agents + API
- In chat, models can now read text files and documents on connected MCP servers, not just use their tools.
- When launching coding agents, unsloth start no longer sends its Unsloth API key in plain text through your HTTP proxy to a local Unsloth.
- On Windows, unsloth start no longer breaks Claude Code hooks or Codex sign-in when launching them.
- Requests with an Unsloth API key can no longer run Python and terminal tools unsandboxed; only the Unsloth UI can allow that.
- The new Save for this model button in Chat settings makes your sampling settings that model's default for new chats and API requests.
Models + hardware
- A BF16 gpt-oss checkpoint loaded with load_in_4bit = True no longer gets random expert and router weights.
- The model picker again lets you run models on Ryzen AI 300-series and newer NPUs, with no environment variable.
- On some Linux AMD PCs with a system-wide ROCm, GGUFs that ran on the CPU now run on the GPU again.