---
title: tencent/Hy-SimulMT-30B-A3B-Interleave
url: https://recentmodel.com/models/tencent/Hy-SimulMT-30B-A3B-Interleave/
status: just landed
published: 2026-10-22T07:44:33Z
updated: 2026-10-26T11:26:59Z
source: https://huggingface.co/tencent/Hy-SimulMT-30B-A3B-Interleave
---

# tencent/Hy-SimulMT-30B-A3B-Interleave

Hy-SimulMT is a real-time simultaneous translation model developed by Tencent Hunyuan, supporting bidirectional speech-to-speech translation between Chinese and English. Mixture-of-experts, 30B total, 3B active (128 experts, 8 per token). Context: 256K tokens (config). License: apache-2.0. Vendor-reported: "As this small-scale capability assessment shows, Hy-SimulMT achieves translation quality on par with expert human simultaneous interpreters, while often responding faster (with lower latency)."

- Vendor-reported: As this small-scale capability assessment shows, Hy-SimulMT achieves translation quality on par with expert human simultaneous interpreters, while often responding faster (with lower latency).

- **Org:** tencent
- **Released:** 2026-10-22
- **Status:** just landed
- **License:** apache-2.0 (permissive)
- **Parameters:** 30.4B total, 3.0B active
- **Architecture:** MoE · 128 experts, 8/token · HYV3SpeechForCausalLM
- **Context:** 262,144 tokens
- **Task:** translation · text
- **Signal:** 4 HF likes · 0 downloads

## Runs on

real quant files; sizing calculation, not tested.

- Q4 ~21.5 GB: 24GB GPU (3090 / 4090), 32GB GPU (5090), 24GB GPU (7900 XTX), Mac 36GB, CPU only, 32GB RAM (slow)
- Q8 ~35.1 GB: 48GB GPU (RTX 6000 Ada / A6000), Mac 48GB, Mac 64GB (M1 Max), CPU only, 64GB RAM (slow)
- FP16 ~62.6 GB: 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), 2× DGX Spark (256GB), Strix Halo 128GB unified (~96GB usable), Mac 96GB, Mac 128GB, Mac 192GB, Mac 256GB, Mac 512GB, CPU only, 128GB RAM (slow), CPU only, 256GB RAM (slow)

## Links

- [Hugging Face](https://huggingface.co/tencent/Hy-SimulMT-30B-A3B-Interleave)