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Unsloth更新于 10月21日 22:46

Qwen3.8-27B 即将发布,17GB 内存可本地运行

Qwen3.8-27B is coming! 🔥

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Qwen3.8-27B 即将发布!🔥 可在 17GB RAM/VRAM 配置上本地运行。

引用

Qwen

@Alibaba_Qwen

📢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 self-evolving development, from empty folder to production without hand-holding,…

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📢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 self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub:https://t.co/iVHZWQoeSo - Real work, real results: Production-quality deliverables across hundreds of professions. - Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy. - Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, execution, and self-correction. 💰Pricing: Input: $2.0 / M tokens Output: $6.0 / M tokens Implicit Caching: $0.25 / M tokens Start building with Qwen3.8-Max! 🚀 📖 Blog: https://t.co/iwjmQxLBof ✅ Qwen Studio: https://t.co/4V2pFvDovG ⚡ API: https://t.co/gAGqaLQGbN

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Qwen3.8-27B is coming! 🔥

Will run locally on 17GB RAM/VRAM setups.

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Unsloth