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

Translation: Tencent has released its third-quarter financial report for 2023, which includes updates on the development of AI large-scale model-related businesses. Tencent has expanded the parameters of its advertising AI models, enhancing the accuracy of targeting and attribution, and has provided generative AI tools to advertisers. Additionally, Tencent has upgraded its self-developed foundational model, Tencent Hunyuan, and deployed it across its internal products, making it available to external enterprise clients as well. Through the enhancement of its Model-as-a-Service (MaaS) capabilities, Tencent Cloud has integrated large-scale models into multiple products. Tencent Hunyuan has been integrated into over 180 business areas, widely utilized in advertising, gaming, content, and other sectors. Tencent Cloud is also driving the application of large-scale models across various industries, providing support for digital transformation initiatives.

Tencent Open-Sources Multilingual Translation Tool Hy-MT2, Lightweight Version Only 440MB for Local Execution, Mini Program Now Available

Tencent Hunyuan recently open-sourced the multilingual translation model Hy-MT2 and launched the "Tencent Hy Translation" mini program. This model family includes three sizes, supporting mutual translation among 33 languages and five ethnic languages/dialects. The lightweight Hy-MT2-1.8B uses Tencent's self-developed AngelSlim 1.25-bit extreme quantization technology, optimized for mobile devices, balancing high quality with efficiency.

Tencent Hunyuan Launches Its First Industrial-Level 2Bit Edge Model: Achieving a Performance Turnaround with a 0.3B Parameter Size

Tencent Hunyuan releases the ultra-small model HY-1.8B-2Bit, which reduces the equivalent parameter count to 0.3B through an industrial-level 2Bit quantization scheme, with memory usage of approximately 600MB and a size smaller than some mobile applications. This technological breakthrough solves the problem of significant precision loss in low-bit quantization, providing a new approach for efficient deployment of large models on consumer-grade hardware.

Talent Battle: AI Star Peng Tianyu from Tsinghua University Joins Tencent Hunyuan to Lead Multi-modal RL Research

AI expert Peng Tianyu joins Tencent Hunyuan as Chief Research Scientist and Head of Multi-modal Reinforcement Learning Technology, responsible for building top-tier teams to tackle cutting-edge challenges in multi-modal generation and understanding. Peng Tianyu is a direct Ph.D. student from the Department of Computer Science at Tsinghua University, mentored by Professor Zhu Jun, with a strong academic background.

The Strongest Open-Source Image-to-Image Model in the World! Tencent Hunyuan Image 3.0 Officially Open Sourced, 80 Billion Parameters Enhance AI Creation

The Tencent Hunyuan team has open-sourced the Hunyuan Image 3.0 image-to-image model, which has 80 billion parameters and uses a mixture-of-experts architecture, ranking seventh in global image editing rankings. Its core breakthrough lies in the multimodal architecture of "thinking first, then editing," making it currently the strongest open-source image-to-image model in the world.

Tencent Hunyuan releases version 1.5 of its open-source translation model: Performance on edge devices improves significantly, with results comparable to large closed-source models

Tencent Hunyuan open-source translation model version 1.5 introduces 1.8B and 7B models, focusing on efficiency and high-quality translation with optimized cloud-device synergy. The 1.8B model is designed for mobile devices, requiring only 1GB memory for offline operation, enabling on-device deployment and excellent performance.....