China Telecom

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.

China Telecom AI's Xing4.0-29B-A4B (formerly the TeleChat line) is a mixture-of-experts model with 29B total and 4B active parameters and a native 256K context window, extensible to 512K. The company claims it is the first model of this scale trained entirely on Ascend NPUs with MindSpore. Community GGUF quantizations from Venastine-Research are already available.

China Telecom Artificial Intelligence Technology has released Xing4.0-29B-A4B, a 29-billion-parameter mixture-of-experts model with only 4B parameters active per token and native 256K context. The company claims it is the first model of this scale trained entirely on Huawei's Ascend NPU platform using the MindSpore framework.