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Brief

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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. TOOL · Mastodon — mastodon.social 日本語(JA) ·

    Free. Translation LLM "Hy-MT2" Appears, Surpassing Microsoft Commercial API with Just 1.8B https:// pc.watch.impress.co.jp/docs/ne ws/2110885.html # impress # market # AI # Other

    A new translation-focused LLM named Hy-MT2 has been released, boasting impressive performance despite its small size. This model, with only 1.8 billion parameters, reportedly surpasses Microsoft's commercial API in translation tasks. The development highlights advancements in creating efficient and powerful language models for specific applications. AI

    IMPACT Demonstrates significant progress in developing highly capable, smaller models for specialized tasks like translation.

  2. TOOL · 量子位 (QbitAI) 中文(ZH) ·

    Tencent Hunyuan open-sources new translation model Hy-MT2, launches mini-program "Tencent Hy Translation"

    Tencent Hunyuan has released its new Hy-MT2 translation model, available in three sizes (1.8B, 7B, and 30B-A3B) and supporting 33 languages. The model demonstrates strong performance, with the 7B and 30B versions outperforming many open-source models and even competing with commercial APIs like Microsoft's. Notably, Hy-MT2 shows improved instruction-following capabilities, allowing for more customized translation styles and formats, and its lightweight 1.8B version is optimized for on-device deployment with minimal storage requirements. AI

    IMPACT Enhances translation capabilities with improved instruction following and on-device deployment options.

  3. FRONTIER RELEASE · Hugging Face Trending Models English(EN) · · [6 sources]

    tencent/Hy-MT2-30B-A3B

    Tencent has released its Hy-MT2 family of multilingual translation models, available in 1.8B, 7B, and 30B-A3B sizes. These models support translation across 33 languages and are designed for complex, real-world scenarios, including instruction-following. The 1.8B model features extreme quantization for on-device deployment, reducing its size to 440MB while improving inference speed. The Hy-MT2 models demonstrate strong performance, with the 7B and 30B-A3B versions outperforming open-source competitors like DeepSeek-V4-Pro and Kimi K2.6, and the 1.8B model competing with mainstream commercial APIs. AI

    IMPACT Sets a new benchmark for multilingual translation models, particularly in fast-thinking and instruction-following capabilities.