Qwen-AgentWorld-35B-A3B▌
Qwen-AgentWorld is a language world model designed to simulate agentic environments through long chain-of-thought reasoning across seven unified domains. It offers a scalable and controllable simulation experience.
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Use Cases
Natural Language Understanding
Process and understand human language for various applications
Example
Chatbots, sentiment analysis, content classification, entity extraction
Automate language-based tasks, improve user interactions, extract insights from text
Text Generation & Completion
Generate human-like text for various purposes
Example
Auto-complete suggestions, content drafting, template filling
Accelerate writing tasks, maintain consistency, scale content production
Language Translation & Adaptation
Translate between languages and adapt content for different audiences
Example
Multi-language support, tone adaptation, simplification
Readme
Qwen-AgentWorld is a native language world model that simulates agentic environments via long chain-of-thought reasoning across seven unified domains: MCP, Search, Terminal, SWE, Android, Web, and OS. It is trained through a three-stage pipeline -- CPT injects environment knowledge, SFT activates next-state-prediction reasoning, RL sharpens simulation fidelity -- on more than 10M real-world interaction trajectories. Unlike prior approaches that treat world modeling as a post-hoc add-on, Qwen-AgentWorld is a native world model: environment modeling is the training objective from the CPT stage onward.
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About this listing
Qwen-AgentWorld-35B-A3B is in the explainx.ai LLM directory. Qwen-AgentWorld is a language world model designed to simulate agentic environments through long chain-of-thought reasoning across seven unified domains. It offers a scalable and controllable simulation experience.. It is labeled open-weights / public artifacts, with publisher field Qwen and license Apache 2.0. Structured FAQs below clarify source, weights, and benchmark data. Canonical URL: /llms/qwen-agentworld-35b-a3b.
FAQ
- What is Qwen-AgentWorld-35B-A3B?
- Qwen-AgentWorld-35B-A3B — Qwen-AgentWorld is a language world model designed to simulate agentic environments through long chain-of-thought reasoning across seven unified domains. It offers a scalable and controllable simulation experience. It appears in the explainx.ai LLM marketplace as a discoverability aid. Reported specs on explainx.ai include type: language; scale: 35B; context window (listed): about 256,000 tokens. Links and license data should be verified with the publisher before production use.
- Who created or publishes Qwen-AgentWorld-35B-A3B?
- On this listing, the organization or lab field is “Qwen” (sourced from the directory import or editor). That usually matches the publisher; confirm on the official model card or vendor site.
- Is Qwen-AgentWorld-35B-A3B open source or closed source?
- The listing is categorized as open-weights or publicly downloadable where the publisher allows it; the recorded license is “Apache 2.0”. Closed or gated releases can still appear on Hugging Face—always read the license on the publisher’s page.
- Where can I download weights or find model files for Qwen-AgentWorld-35B-A3B?
- This listing points to the Hugging Face model repo (https://huggingface.co/Qwen/Qwen-AgentWorld-35B-A3B), where files and weight artifacts are typically hosted. explainx.ai does not host weights; download and license terms are set by the publisher on that site.
Listing on explainx.ai. Information may change; verify with the publisher.