| 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。 |