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@lmstudio
Bionic is LM Studio’s agent lmstudio.ai
New York, USA
lmstudio.ai/careers
Joined May 2023
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  • Pinned
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    LM Studio
    @lmstudio
    Aug 14
    Qwen3.8-27B is here! 🚀 It's a leap in capabilities for a laptop size model. Requires ~17GB to run locally. Model page: lmstudio.ai/qwen/qwen3.8-2…
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    Qwen
    @Alibaba_Qwen
    Aug 14
    We promised open weights for Qwen3.8. Now, time to meet them! 🎉 ⚡ Qwen3.8-27B: - A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows. - 262K native context, easily extendable to 1M
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    LM Studio
    @lmstudio
    Aug 14
    DeepSeek V4 Pro 0813 is now live in Bionic! This model shows strong performance across agentic coding and automation tasks at a very compelling cost. Hosted on US-based servers 🇺🇸, with ZDR enabled by default.
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    DeepSeek
    @deepseek_ai
    Aug 13
    We’re launching DeepSeek-V4-Pro today! 🚀 🔷 Major Agent upgrades with strong production gains! 🔷 Flexible reasoning effort for V4-Pro & V4-Flash: low for simple tasks, high for daily Agent workflows, max for complex tasks. 🔷 Native OpenAI Responses API support, optimized for
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    LM Studio
    @lmstudio
    Aug 11
    Nemotron 3.5 Lightning is available in LM Studio! The model is 30B MoE (3B active), can run very fast, and is trained for high volume agentic use cases. Model page: lmstudio.ai/models/nvidia/…
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    NVIDIA AI
    NVIDIA
    @NVIDIAAI
    Aug 11
    Introducing NVIDIA Nemotron 3.5 Lightning⚡ 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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    LM Studio
    @lmstudio
    Aug 10
    Muse Glimmer 30B is live in LM Studio! It's a new open source model from Meta. Apache 2.0 license, fit right on your laptop. It is the strongest model of its size class we've tested.
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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