虽然翻译领域不算最热,腾讯这个1.8B开源模型用1.25位量化直接跑在手机上,效果还超微软商业API,做本地化翻译工具的人值得关注。
腾讯正式开源Hy-MT2多语言翻译模型,支持33种语言间的无缝互译。其7B与30B-A3B版本在开源模型中达到最先进的翻译性能,超越了许多参数规模大数十倍的模型。更具突破性的是,1.8B轻量级版本性能超越微软等主流商业API,并凭借腾讯AngelSlim 1.25-bit极量化技术,仅需440MB存储空间,即可在主流手机芯片上本地运行,推理速度较前代提升1.5倍,显著降低了高质量AI翻译的部署门槛。
🚀 Introduce Hy-MT2: New Open-Source Multilingual Translation Model
We proudly launch our new Hy-MT2 translation model and the Tencent Hy Translation mini-program!
Hy-MT2 is a powerful multilingual model supporting seamless translation across 33 languages - and it's fully open-source!
It's 7B and 30B-A3B models achieve state-of-the-art performance among all open-source models on various translation tasks, surpassing models with dozens of times more parameters.
The lightweight 1.8B model even outperforms mainstream commercial APIs like Microsoft and so on. Powered by Tencent AngelSlim 1.25-bit extreme quantization, it needs just 440MB storage and enables effortless local inference on mainstream mobile chips - with 1.5x faster speed vs. Hy-MT1.5.
Open-source AI translation just got way smarter, faster, and more accessible! 🌏
Project Page: https://aistudio.tencent.com/llm/zh?tabIndex=0 Hugging Face: https://huggingface.co/collections/tencent/hy-mt2 Modelscope: https://modelscope.cn/collections/Tencent-Hunyuan/Hy-MT2 Github: https://github.com/Tencent-Hunyuan/Hy-MT2