@FeitengLi: Hy-MT2 - a new open-source multilingual translation model that matches top-tier large models in capability, supports translation between 33 languages, and offers flexible instruction capabilities. It achieves 2-bit quantization under 500MB, making it well-suited for on-device deployment. https://modelsc…
Summary
Hy-MT2 is a new open-source multilingual translation model from Tencent Hy that supports 33 languages, offers flexible instruction capabilities, and achieves 2-bit quantization under 500MB for on-device deployment.
View Cached Full Text
Cached at: 05/21/26, 09:40 PM
Hy-MT2: New Open-Source Multilingual Translation Model
Its capabilities rival top-tier large models, supporting translation between 33 languages. With flexible Instruct capabilities and 2-bit quantization occupying less than 500MB, it runs smoothly on edge devices.
https://modelscope.cn/collections/Tencent-Hunyuan/Hy-MT2…
Tencent Hunyuan has partnered with WMT26 to launch the “Video Subtitle Translation Task” (https://www2.statmt.org/wmt26/video-subtitle-translation.html…). Participants using Hy-MT series models in the “General Machine Translation Task” (https://www2.statmt.org/wmt26/translation-task.html…) and the “Video Subtitle Translation Task” stand a chance to win special awards sponsored by Hunyuan.
Tencent Hy (@TencentHunyuan): 🚀 Introducing 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
Similar Articles
tencent/Hy-MT2-7B
Tencent open-sourced the Hy-MT2 family of fast-thinking multilingual translation models (1.8B, 7B, 30B-A3B) supporting 33 languages, along with extreme quantization for on-device deployment and a new instruction-following benchmark IFMTBench.
Hy-MT2: A Family of Fast, Efficient and Powerful Multilingual Translation Models in the Wild
Hy-MT2 is a family of fast, efficient multilingual translation models from Tencent, available in 1.8B, 7B, and 30B-A3B sizes, supporting 33 languages and outperforming previous open-source and commercial models.
AngelSlim/Hy-MT1.5-1.8B-1.25bit
Tencent's AngelSlim team released Hy-MT1.5-1.8B-1.25bit, a highly compressed 1.25-bit machine translation model supporting 33 languages that fits in 440MB for on-device use. It utilizes the Sherry quantization algorithm to achieve world-class translation quality comparable to much larger models.
@FeitengLi: A 99M parameter TTS runs on CPU, faster than a 2B model on A100. Supertone's newly open-sourced supertonic-3 with ONNX Runtime, fully local, can run in browser, on phone, and even on Raspberry Pi.
Supertone released Supertonic 3, an open-source TTS model with 99M parameters that runs faster on CPU than a 2B model on A100, supporting 31 languages and ONNX Runtime for fully local inference.
@seclink: This 12-billion-parameter model uses a unified Transformer architecture to efficiently handle raw multimodal inputs. It requires only 16GB of RAM to run, making it a perfect fit for devices like the MacBook Pro. It excels in various benchmarks, such as achieving 78.8% on GPQA Diamond and...
A 12-billion-parameter multimodal model has been released as open source. It features a unified Transformer architecture and requires only 16GB of RAM to run. It performs exceptionally well across multiple benchmarks, supports a 256K context window, and works with over 140 languages.