Qwen AgentWorld 35B A3B 📑 Technical Report 📖 Blog 🤗 Hugging Face 🤖 ModelScope 💻 GitHub 🖥️ Demo [!Note] This repository contains the model weights and configuration files for Qwen AgentWorld 35B A3B , a native language world model trained for agentic environment simulation. These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, etc. Qwen 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, SFT activates next state prediction reasoning, RL sharpens simulation fidelity — Qwen AgentWorld is a native world model : environment modeling is the training objective from the CPT stage onward, not a post hoc add on. Highlights Seven Unified Domains. A single model covers MCP (tool calling), Search, Terminal, SWE (software engineering), Android, Web, and OS — spanning both text and GUI interaction environments. Native World Model. Environment modeling from CPT onward, not post hoc a…
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