---
license: apache-2.0
tags:
  - duplexomni
  - speech
  - multimodal
---

# DuplexOmni

## Model Description

This repository provides the **DuplexOmni model weights**. Both the **Thinker** and **Talker** components are included in the released checkpoint.

For source code and deployment details, see the [DuplexOmni repository](https://github.com/MuyeHuang/DuplexOmni/tree/main).

## Known Issues

This model is still under active optimization and may exhibit the following issues:

- Unexpected silence during generation.
- Suboptimal speech quality or speech performance in certain cases.

## Hardware Recommendation

For low-latency deployment, we recommend using at least **8 NVIDIA H20 GPUs**. This recommendation reflects the current optimization level and may change as inference performance improves.

## Warm-up Requirement

The model should be warmed up after deployment. Without warm-up, the first response packet can have significantly higher latency.

---

# DuplexOmni

## 模型说明

本仓库提供 **DuplexOmni 模型权重**，其中同时包含 **Thinker** 和 **Talker** 两个组件。

源码及部署相关信息请参考 [DuplexOmni 仓库](https://github.com/MuyeHuang/DuplexOmni/tree/main)。

## 已知问题

该模型目前仍在持续优化中，可能存在以下问题：

- 生成过程中出现意料之外的沉默。
- 部分情况下语音质量或语音表现不佳。

## 硬件建议

为获得较低的推理延迟，建议至少使用 **8 张 NVIDIA H20 GPU** 进行部署。该建议基于当前的优化水平，后续可能会随着推理性能优化而调整。

## 预热要求

模型部署并挂载后需要进行预热；否则，首个响应包的延迟可能会明显偏高。