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README.md
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@@ -46,7 +46,6 @@
- [Online Demo](#online-demo) - [Online Demo](#online-demo)
- [Install](#install) - [Install](#install)
- [Inference](#inference) - [Inference](#inference)
- [Hardware Requirements](#hardware-requirements)
- [Model Zoo](#model-zoo) - [Model Zoo](#model-zoo)
- [Multi-turn Conversation](#multi-turn-conversation) - [Multi-turn Conversation](#multi-turn-conversation)
- [Inference on Mac](#inference-on-mac) - [Inference on Mac](#inference-on-mac)
@@ -473,22 +472,15 @@ pip install -r requirements.txt
## Inference ## Inference
### Hardware Requirements
| Model | GPU Memory |
|:----------------------|:-------------------:|
| MiniCPM-Llama3-V 2.5 | 19 GB |
| MiniCPM-Llama3-V 2.5 (int4) | 8 GB |
| MiniCPM-Llama3-V 2.0 | 8 GB |
### Model Zoo ### Model Zoo
| Model | Description | Download Link |
|:----------------------|:-------------------|:---------------:| | Model | GPU Memory |          Description | Download Link |
| MiniCPM-Llama3-V 2.5 | The lastest version, achieving state-of-the end-side multimodal performance. | [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5/) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5) | |:-----------|:-----------:|:-------------------|:---------------:|
| MiniCPM-Llama3-V 2.5 int4 | int4 quantized version，lower GPU memory usage. | [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-int4/) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5-int4) | | MiniCPM-Llama3-V 2.5 | 19 GB | The lastest version, achieving state-of-the end-side multimodal performance. | [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5/) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5) |
| MiniCPM-V 2.0 | Light version, balance the performance the computation cost. | [🤗](https://huggingface.co/openbmb/MiniCPM-V-2) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-V-2) | | MiniCPM-Llama3-V 2.5 int4 | 8 GB | int4 quantized version，lower GPU memory usage. | [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-int4/) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5-int4) |
| MiniCPM-V 1.0 | Lightest version, achieving the fastest inference. | [🤗](https://huggingface.co/openbmb/MiniCPM-V) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-V) | | MiniCPM-V 2.0 | 8 GB | Light version, balance the performance the computation cost. | [🤗](https://huggingface.co/openbmb/MiniCPM-V-2) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-V-2) |
| MiniCPM-V 1.0 | -| Lightest version, achieving the fastest inference. | [🤗](https://huggingface.co/openbmb/MiniCPM-V) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-V) |
### Multi-turn Conversation ### Multi-turn Conversation

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README_zh.md
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@@ -487,12 +487,12 @@ pip install -r requirements.txt
### 模型库 ### 模型库
| 模型 | 简介 | 下载链接 | | 模型 | 显存占用 | &emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp; 简介 | 下载链接 |
|:----------------------|:-------------------|:---------------:| |:--------------|:--------:|:-------------------|:---------------:|
| MiniCPM-Llama3-V 2.5 | 最新版本，提供最佳的端侧多模态理解能力。 | [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5/) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5) | | MiniCPM-Llama3-V 2.5| 19 GB | 最新版本，提供最佳的端侧多模态理解能力。 | [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5/) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5) |
| MiniCPM-Llama3-V 2.5 int4 | int4量化版，更低显存占用。 | [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-int4/) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5-int4) | | MiniCPM-Llama3-V 2.5 int4 | 8 GB | int4量化版，更低显存占用。 | [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-int4/) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5-int4) |
| MiniCPM-V 2.0 | 轻量级版本，平衡计算开销和多模态理解能力。 | [🤗](https://huggingface.co/openbmb/MiniCPM-V-2) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-V-2) | | MiniCPM-V 2.0 | 8 GB | 轻量级版本，平衡计算开销和多模态理解能力。 | [🤗](https://huggingface.co/openbmb/MiniCPM-V-2) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-V-2) |
| MiniCPM-V 1.0 | 最轻量版本， 提供最快的推理速度。 | [🤗](https://huggingface.co/openbmb/MiniCPM-V) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-V) | | MiniCPM-V 1.0 | - | 最轻量版本， 提供最快的推理速度。 | [🤗](https://huggingface.co/openbmb/MiniCPM-V) &nbsp;&nbsp; [<img src="./assets/modelscope_logo.png" width="20px"></img>](https://modelscope.cn/models/OpenBMB/MiniCPM-V) |
更多[历史版本模型](#legacy-models) 更多[历史版本模型](#legacy-models)