Xing4.0-29B-Intent

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China Telecom's Xingchen General AI Lab released Xing4.0-29B-Intent, a 29B model fine-tuned from Xing4.0-29B-A4B for intent recognition and parameter extraction. Weights, a 2.753 million-sample corpus and an inference image are open-sourced, with code under Apache 2.0.

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China Telecom open-sources Xing4.0-29B-Intent, a 29B intent model, with 2.753M-sample training corpus

China Telecom's Xingchen General AI Lab has released and open-sourced Xing4.0-29B-Intent, a model that turns a user's sentence into structured JSON covering intent and parameters. The release includes model weights, a 2.753 million-sample training corpus and an inference image. In the company's own tests, it scores 58 against a top score of 49 among general-purpose models.

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