Qwen-AgentWorld-35B-A3B: A Language World Model for Multi-Domain Agentic Environment Simulation
Summary
Qwen-AgentWorld-35B-A3B is a native language world model designed for agentic environment simulation, covering seven agent interaction domains within a single model. It simulates environments via long chain-of-thought reasoning, predicting next states based on agent actions and interaction history. The model was trained through a three-stage pipeline including CPT (Continual Pre-Training) to inject environment knowledge. The repository provides model weights and configuration files compatible with Hugging Face Transformers, vLLM, and SGLang.
Source
bskyQwen-AgentWorld-35B-A3B: A Language World Model for Multi-Domain Agentic Environment Simulationhuggingface.coKey quotes
· 3 pulledQwen-AgentWorld is the first language world model to cover seven agent interaction domains within a single model.
It simulates agentic environments via long chain-of-thought reasoning, predicting the next environment state given an agent's action and interaction history.
Trained through a three-stage pipeline — CPT injects environment knowledge.
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