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  1. unslothaiFirst-partyProduct release
    AI score57

    English translation is being prepared.

    Quoted postUnsloth AI · @UnslothAI

    Qwen3.8-27B can now be run locally! ✨ Run on 17GB RAM via Unsloth Dynamic GGUFs. Qwen3.8-27B is by far the strongest model for its size. We also uploaded NVFP4 quants. GGUF: https://t.co/xIdNwm7CLQ Guide: https://t.co/J2PwgMP6GZ https://t.co/NKFJuPXFyG

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  1. unslothaiFirst-partyProduct release
    AI score57

    English translation is being prepared.

    Quoted postQwen · @Alibaba_Qwen

    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 tokens via YaRN. - Built for builders. Highly efficient, high-quality, and licensed under Apache 2.0. 🚀 The open weights for Qwen3.8-2.4T-A95B (Max-level) have also been released recently. Whether you're shipping lightweight applications with Qwen3.8-27B locally or building agents with Qwen3.8-2.4T-A95B, they're yours now! Download, deploy, and build something we haven't imagined yet. 👀👇 - Hugging Face： https://t.co/4kaAcqYEVj - ModelScope： https://t.co/eRIMZCGkhC

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  2. meituan_longcatProduct release
    AI score36

    English translation is being prepared.

    Quoted postNous Research · @NousResearch

    LongCat-2.0 from @Meituan_LongCat is free in Nous Portal for one week. It is a 1.6T-parameter MoE with 1M context built for agentic coding, scores 70.8 on Terminal-Bench 2.1, and can ingest an entire codebase in one pass. Try it out at https://t.co/KCXV2EtbOa https://t.co/M2ZUP3Cs0c

    #Product updates#Agents