Alibaba open sources Qwen-AgentWorld, a language world model for agents

Hugging Face Models

Qwen-AgentWorld is a 35B-parameter MoE with ~3B active parameters, trained to predict environment states rather than act as an agent. It outperforms closed models across seven domains: MCP, Search, Terminal, SWE, Android, Web, and OS. Two model sizes are available: 35B-A3B and 397B-A17B.

Qwenagent-world

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Qwen-AgentWorld: Language World Models for General Agents1 day agoilrebDiscuss

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Qwen-AgentWorld-35B-A3B: a 3B-active MoE trained to simulate MCP, terminal, SWE, Android, web and OS environments1 day agonikhilprasanthDiscuss

GitHub - QwenLM/Qwen-AgentWorld: Qwen-AgentWorld: Language World Models for General Agentsvia r/LocalLLaMA19 hours agodan945Discuss

Qwen-AgentWorld-397B-A17B22 hours agoShoddy_Bed3240Discuss

Hugging Face Models·Qwen

Jun 22, 2:49 PM