---
title: MPP-Qwen-Next
canonical_url: "https://www.modelscope.cn/models/Coobiw/MPP-Qwen-Next"
md_url: "https://www.modelscope.cn/models/Coobiw/MPP-Qwen-Next.md"
repository: Coobiw/MPP-Qwen-Next
last_updated: 2024-07-01
pipeline_tag: multimodal-dialogue
tasks:
  - multimodal-dialogue
library_name:
  - pytorch
frameworks:
  - Pytorch
downloads: 325
stars: 0
---

# MPP-Qwen-Next

> MPP-Qwen-Next - Coobiw 在 ModelScope 开源的模型。MPP-Qwen-Next: Multimodal Pipeline Parallel based on QwenLM

- **Repository**: Coobiw/MPP-Qwen-Next
- **Tasks**: multimodal-dialogue
- **Downloads**: 325
- **Stars**: 0
- **Last updated**: 2024-07-01

Source: https://www.modelscope.cn/models/Coobiw/MPP-Qwen-Next

---

<div align="center">
    <img src="https://github.com/Coobiw/MiniGPT4Qwen/assets/48615375/1fcf44d8-0eed-4fcd-bbde-66bdeee22251" alt="MPP-Qwen-Next logo" width="300" />
</div>

# MPP-Qwen-Next: Multimodal Pipeline Parallel based on QwenLM

[Github Repo URL](https://github.com/Coobiw/MiniGPT4Qwen)
=========

<video controls>
  <source src="https://github.com/Coobiw/MiniGPT4Qwen/assets/48615375/963416dd-fd97-4680-b7ac-fa4a14beaaae" type="video/mp4">
  Your browser does not support the video tag.
</video>

## News
- [2024/6] 🔥 **MPP-Qwen-Next**: 加入llava的多轮对话sft数据以及videochatgpt的100k sft数据，**支持图像多轮对话，视频对话，并涌现出多图对话能力** [知乎博客](https://zhuanlan.zhihu.com/p/703597348)
- [2024/5] 🔥 代码支持多轮对话sft、视频sft、多图sft
- [2024/4] 🔥 支持多卡推理，修正chat template以获得更好的对话效果 [知乎博客](https://zhuanlan.zhihu.com/p/698549757)
- [2024/3] 🔥 **MPPQwen-14B**: Extend MiniGPT4Qwen-14B to MPP-Qwen14B(Multimodal Pipeline Parallel). 数据和训练范式参照LLaVA（pretrain + sft)，指令微调时打开LLM。**全部训练过程在6张RTX4090上完成** [README&Tutorial](https://github.com/Coobiw/MiniGPT4Qwen/blob/master/MPPQwen14B_README.md)； [知乎博客](https://zhuanlan.zhihu.com/p/687106694)
- [2024/2] 🔥 **MiniGPT4Qwen-14B**: Scaling Up MiniGPT4Qwen to 14B. **使用DeepSpeed Pipeline Parallel让全过程仅使用2张4090显卡** [README&Tutorial](https://github.com/Coobiw/MiniGPT4Qwen/blob/master/MiniGPT4Qwen_README.md)； [知乎博客](https://zhuanlan.zhihu.com/p/684462477)
- [2023/10] 🔥 **MiniGPT4Qwen**：采用18.8k的高质量双语指令微调数据，得到**单阶段训练的个人版双语MLLM** [README&Tutorial](https://github.com/Coobiw/MiniGPT4Qwen/blob/master/MiniGPT4Qwen_README.md)； [知乎博客](https://zhuanlan.zhihu.com/p/664612306)
