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Qwen 开源 AgentWorld-35B-A3B 模型和 AgentWorldBench

来源: twitter关注列表
作者: Han Xiao (@hxiao)
发布于: 2026-06-24
收录于: 2026-06-24
AI 推荐理由
这是 Qwen 将世界建模融入智能体训练的首个开源尝试,提供了高保真模拟环境,值得关注其技术路线与基准测试结果。
核心解读
Qwen 开源了 Qwen-AgentWorld-35B-A3B (MoE, 35B 总参数, 3B 激活参数, 256K 上下文) 和 AgentWorldBench,旨在通过可扩展、可控的模拟器研究语言世界建模以提升通用智能体能力。
全文
wait, so is Qwen-AgentWorld-35B-A3B sort of Qwen3.7-35B-A3B? will test it > **引用原帖 Qwen (@Alibaba_Qwen):** > We open-source Qwen-AgentWorld-35B-A3B (MoE, 35B/3B active, 256K context) and AgentWorldBench. > Two routes, one roadmap: > 🔬 Build the simulator — scalable, controllable, surpassing real environments > 🧠 Internalize world modeling — predict before you act > Qwen-AgentWorld is our attempt to investigate how language world modeling can further expand the boundaries of general agent capabilities. > Go build on it 🏃🏃‍♂️ > 📑 Paper: https://t.co/Jx2l5RKq71 > 📖 Blog: https://t.co/7tVcKyhsx2 > 💻 GitHub: https://t.co/B5Lvb1UZCn > 🤗 HuggingFace: https://t.co/Kw3QBL1TM5 > 🧩 ModelScope: https://t.co/YBnGYgMWWI > https://x.com/Alibaba_Qwen/status/2069720412481888400
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