Tencent's HunYuan Hy4 is open-sourced with 770 billion total parameters and 1 million context length.

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Tencent has released a preview of its HunYuan Hy4 model, featuring 770 billion total parameters and a 1 million token context window. The model supports real-world asset (RWA) applications such as code generation, office productivity, and gaming. Hy4 enhances the 295-billion-parameter Hy3 model with expanded capabilities. It is integrated into Tencent tools including WorkBuddy and CodeBuddy and is now actively involved in its own development. The preview is available on Tencent Cloud TokenHub and other platforms, alongside updates on new token listings.
ME AI News, Dongcha Beating AI Brief: Tencent releases Hy4 preview; the new model adopts a MoE architecture with a total of 770B parameters and activates 49B per inference, extending context length to 1M. Compared to Hy3’s 295B total parameters, 21B activated parameters, and 256K context, this generation more than doubles in scale and expands context length by approximately four times. Tencent is not solely emphasizing general benchmark scores but has specifically strengthened performance on real-world tasks such as coding, office productivity, gaming, and scientific research. For instance, the model can build a Three.js 3D website from scratch, create playable game demos in Unity, and process 72 financial documents in a single run to detect duplicate reimbursements, budget overruns, and anomalies. Hy4 was jointly trained and iterated with Tencent products like WorkBuddy and CodeBuddy. A particularly notable feature is that Hy4 is already participating in its own development. Tencent states that it helps optimize training methods, data strategies, evaluation systems, and underlying operators—proposing solutions, running experiments, and adjusting based on results. The code, logs, and feedback generated from these experiments feed back into the next development cycle, forming an initial self-improvement loop. The Hy4 preview is now integrated into WorkBuddy, CodeBuddy, Yuanbao, ima, Tencent Cloud TokenHub, and OpenRouter. Tencent previously hinted in its financial report that Hy4 would be larger than Hy3 and that real product feedback would serve as a critical source for model training. (Source: BlockBeats)
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