Tencent Hunyuan Launches Tencent Hy Translation App: Supports Inter-Translation of 33 Languages, Covering 5 Ethnic Languages

September 24th news, Tencent Hunyuan announced today that the "Tencent Hy Translation" app is officially launched and also supports mini programs, plugins, and PC experience. You can directly search for "Tencent Hunyuan Translation" to use it. The product is built based on the Tencent Hunyuan Hy-MT2 translation model, supporting mutual translation of 33 languages, covering five Chinese minority languages and dialects, and offering various methods such as voice translation, photo translation, and offline translation.

Offline available, covering Hong Kong, Macau, Taiwan, and Southeast Asia

According to the introduction, in the offline translation mode, users can download the translation model to their phone in advance, allowing stable use even without internet or poor signal. The app is now available in 12 countries and regions, including the United States, Japan, South Korea, Singapore, Malaysia, Thailand, Vietnam, Myanmar, and the Chinese Hong Kong, Macau, and Taiwan regions, showing Tencent's strategy in cross-border and multilingual scenarios.

The Hy-MT2 translation model was open-sourced in May this year

Public information shows that the Tencent Hunyuan translation model Hy-MT2 was open-sourced in May this year, supporting mutual translation of 33 languages and five minority languages/dialects. Its performance in multi-language instruction following, professional field translation, and real scenario translation has significantly improved compared to the previous generation Hy-MT1.5. The launch of the "Tencent Hy Translation" app directly brings this open-source model's capabilities to end users.

Tencent Hunyuan Image 3.5 is here: more accurate text drawing, stronger image editing, a 2K image costs just 1.5 cents

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 Large Model Upgraded: 770B Flagship New Version Hy4preview Shockingly Open-Source, Directly Enters the First Tier of Open-Source Models

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 launches open-source flagship model Hy4preview with 770B total parameters and 1M context

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.

Compressed from 3.3GB to 440MB! How does Tencent Hunyuan's ultra-low bit translation model achieve near-zero loss?

Tencent Hunyuan compressed a 1.8B edge-side translation model to hundreds of megabytes, achieving near-zero loss in translation quality, and has been applied to real-time translation of B站 live chat messages, supporting high-concurrency real-world applications. The model supports mutual translation among 33 languages, and its translation quality leads among models of the same size.