Xing4.0-29B-Intent turns a one-line request into structured intent, entities, relations, and action parameters, all through one schema-driven model.
🤖 https://modelscope.ai/models/XingChen-AGI/Xing4.0-29B-Intent
🏆 Leads the authors’ extraction evaluation: Scores 58 across 6,000 samples from 48 Chinese and English public datasets, ahead of 18 evaluated general-purpose models.
🧠 Choice and extraction in one model: Handles both intent routing and structured semantic parsing, so applications can classify a request and extract the information needed to act on it.
⚙️ Built for reliable tool use: Outputs schema-constrained JSON rather than long-form replies, covering intent detection, entity recognition, relation extraction, and event extraction.
📱 Made for real product flows: Fits customer service routing, smart-device commands, terminal assistants, and agent or function-calling pipelines.
📜 Model weights, training data, and code are released under Apache 2.0.
#XingIntent #IntentUnderstanding #SemanticParsing #FunctionCalling #AgenticAI #ModelScope