7 citations · 7 across the 5 of their papers we have counts for
5 papers
Hunyuan-A13B Technical Report
Tencent Hunyuan Team, Ao Liu, Botong Zhou +72
We present Hunyuan-A13B, an open-source large language model based on a Mixture-of-Experts architecture. It contains 80 billion total parameters but activates only 13 billion durin…
HY-Motion 1.0: Scaling Flow Matching Models for Text-To-Motion Generation
Yuxin Wen, Qing Shuai, Di Kang +34
We present HY-Motion 1.0, a series of state-of-the-art, large-scale, motion generation models capable of generating 3D human motions from textual descriptions. HY-Motion 1.0 repres…
HunyuanVideo 1.5 Technical Report
Bing Wu, Chang Zou, Changlin Li +78
We present HunyuanVideo 1.5, a lightweight yet powerful open-source video generation model that achieves state-of-the-art visual quality and motion coherence with only 8.3 billion…
HunyuanImage 3.0 Technical Report
Tencent Hunyuan Foundation Model Team
We present HunyuanImage 3.0, a native multimodal model that unifies multimodal understanding and generation within an autoregressive framework, with its image generation module pub…
Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent
Xingwu Sun, Yanfeng Chen, Yiqing Huang +105
In this paper, we introduce Hunyuan-Large, which is currently the largest open-source Transformer-based mixture of experts model, with a total of 389 billion parameters and 52 bill…