Tencent Upgrades Self-Developed Foundation Model Tencent Hunyuan and Deploys it to Internal Products


Tencent Hunyuan launches 'Tencent Hy Translate' app, available on mini-program, plugin and PC. Powered by Hy-MT2, it supports 33 languages, including 5 Chinese minority languages/dialects, with voice, photo and offline translation. Offline models can be downloaded, covering HK, Macau, Taiwan and Southeast Asia.....
Tencent Hunyuan research examines batch size in online LLM RL. As models self-generate data and rollout/training scaling rates diverge, classical critical batch size theory needs revisiting. Covering GRPO and PPO, it gives practical guidance for efficient training on large GPU clusters.....
On September 22, Tencent Hunyuan released the preview version of Image 3.5, with comprehensive upgrades in image quality, layout, and image editing capabilities, and a significant reduction in usage cost, featuring low cost and high efficiency. The official stated that the overall capability has improved by about 30% compared to the previous version, with more accurate text generation, avoiding missing strokes or characters; better understanding of visual layout needs; and enhanced image editing capabilities.
Tencent Hunyuan released the preview version of its flagship model, Hy4preview, with a total parameter count of 770B and an activated parameter count of 49B. It supports a context length of 1M. This model performs exceptionally well in real productivity tasks such as coding, office work, and science, ranking among the first-tier open-source models. Its comprehensive performance in internal blind tests exceeds that of similar competitors, and it has already been applied in multiple fields within Tencent.
Tencent Hunyuan released the open-source flagship large model Hy4preview on August 28th, with a total of 770B parameters and 49B activated parameters, and a context length of 1M, positioning it as real productivity. The model has been open-sourced on HuggingFace, GitHub, ModelScope, and is also available on Tencent Cloud TokenHub and OpenRouter. It can be experienced through WorkBuddy/CodeBuddy, Yaobao, and IMA. It was built using expert data from fields such as software engineering, games, finance, and security.