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Language modelOpen weights

Xing4.0-29B-A4B

XingChen AGI

Released
-
Data date
October 3, 2026

Xing4.0-29B-A4B was trained entirely on Ascend NPUs using MindSpore. Its developer adapted the MoE architecture to Ascend 910C clusters for this purpose. The model activates 4 of its 29 billion parameters per token.

Its standard context window holds 256K tokens and can be extended to 512K. The weights use Apache 2.0, and the model card documents local runtimes and an OpenAI-compatible API.

Specifications and access

SpecificationValue and source
Model ID
XingChen-AGI/Xing4.0-29B-A4BSource
Parameters
29 billion total, 4 billion activeSource
Context window
256K tokens, extensible to 512KSource
Architecture
mHC, MLA, and MTPSource
Access
OpenAI-compatible API and local deploymentSource
License
Apache 2.0Source