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Unsloth AI
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Unsloth AI
@UnslothAI
Train and run models locally! 🦥 github.com/unslothai/unsl…
San Francisco, CA
unsloth.ai
Joined November 2023
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    Unsloth AI
    @UnslothAI
    1h
    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
    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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    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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    Mark Zuckerberg
    Meta
    @finkd
    Aug 10
    Today we're also opening the weights for Muse Glimmer, a great 30B parameter dense model that can run locally. Soon we'll also release the weights for Muse Spark 1.2, our latest foundation model. Meta is a strong supporter of open source and I'm proud of these releases. Congrats
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    Unsloth AI
    @UnslothAI
    Aug 6
    DeepSeek-V4-Flash can now run 2× faster locally with DSpark! ⚡️ DSpark enables V4-Flash-0731 GGUFs to generate ~1.4–2× faster with no accuracy change. DeepSeek-V4-Flash-0731 can reach at 120 tokens/s. GGUFs: huggingface.co/unsloth/DeepSe… Guide: unsloth.ai/docs/models/de…
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    Unsloth AI
    @UnslothAI
    Aug 3
    Qwen3.8-27B is coming! 🔥 Will run locally on 17GB RAM/VRAM setups.
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    Qwen
    @Alibaba_Qwen
    Aug 3
    📢Meet Qwen3.8-Max — our most capable model to date. Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉 Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters: - Autonomous coding: 10+ days of
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