StudioTencent Hunyuan open-sources Hy-SimulMT-30B-A3B real-time simultaneous translation model
Original title: tencent/Hy-SimulMT-30B-A3B · Hugging Face
Tencent Hunyuan released Hy-SimulMT-30B-A3B, a real-time simultaneous translation model supporting bidirectional Chinese-English speech-to-speech translation with real-time voice cloning, open-sourced on Hugging Face with FP8 and GGUF variants. On the RealSI long-form audio benchmark it achieved a StreamLAAL of about 3 seconds, the lowest among compared systems, with a GEMBA score exceeding the compared open-source models and four of five commercial APIs; in a small-scale comparison its quality was on par with CATTI-certified interpreters, often with lower latency. GitHub provides the SimulInfer inference service and SimulTrain training tools; speech output and voice cloning require a configured TTS service.
The official post provides concrete latency and quality benchmark numbers, a comparison with human interpreters, and full deployment tools, useful for evaluating streaming translation options.
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