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Unsloth AI
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Unsloth AI

@UnslothAI
Run and train models locally! 🦥 github.com/unslothai/unsl…
San Francisco, CA
unsloth.ai
Joined November 2023
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    Unsloth AI
    @UnslothAI
    Aug 11
    Introducing Unsloth Desktop 🦥 The first desktop app to run and train models locally. • Open-source. Runs on Mac, Windows and Linux • Supports MLX, diffusion image/video, audio, GGUF • Connect Claude Code and Codex to local LLMs • 50% more accurate, self-healing tool calls +
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    Unsloth AI
    @UnslothAI
    19h
    You can now fine-tune Meta Muse Glimmer 30B for free! 🔥 Our free notebook also supports GRPO RL training. Unsloth trains Muse Glimmer 1.5× faster with 50% less VRAM vs FA2 setups. Train locally with 24GB VRAM. Guide: unsloth.ai/docs/models/mu… Notebooks: unsloth.ai/docs/models/mu…
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    Unsloth AI
    @UnslothAI
    Aug 12
    2-bit NVIDIA Nemotron 3.5 Lightning ran tool calls nonstop for 10 minutes on just 22GB of VRAM. 🤯 It cited 80+ websites, executed code & searched for 10 real-world locations. Run and train via Unsloth Desktop. GGUF: huggingface.co/unsloth/NVIDIA… Guide: unsloth.ai/docs/models/ne…
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    NVIDIA AI
    NVIDIA
    @NVIDIAAI
    Aug 11
    Introducing NVIDIA Nemotron 3.5 Lightningâš¡ An open 30B MoE model with 3B active parameters, built for always-on agents to complete high-volume, specialized tasks faster. It delivers up to 4x the output speed of similar-sized models.
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    Unsloth AI
    @UnslothAI
    Aug 12
    Qwen3.8 can now be run locally! 🔥 We shrank Qwen3.8-2.4T-A95B from 4.9TB to 397GB (-91% size) via Dynamic 1-bit by selectively quantizing layers Run on 410GB+ RAM/VRAM via Unsloth Desktop Qwen3.8 rivals GPT-5.6 Sol Guide: unsloth.ai/docs/models/qw… GGUF: huggingface.co/unsloth/Qwen3.…
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    Unsloth AI
    @UnslothAI
    Aug 10
    2-bit Muse Glimmer GGUF managed to call 100+ tools on just 14GB RAM. 🔥 Muse Glimmer did a complete repo bug hunt for 5 mins nonstop with: evidence, repro, fix, tests and a PR writeup. Run and train it in Unsloth. GitHub repo: github.com/unslothai/unsl…
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    Unsloth AI
    @UnslothAI
    Aug 10
    Meta releases Muse Glimmer, a new 30B open model that runs on 18GB RAM. Muse Glimmer is Apache 2.0 licensed, supports vision and is the strongest agentic model for its size. Run and train the model via Unsloth. GGUF: huggingface.co/unsloth/Muse-G… Guide: unsloth.ai/docs/models/mu…

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