From 980a1e37e2c29cda72ebd354fcf2dadd69fbd352 Mon Sep 17 00:00:00 2001 From: yiranyyu <2606375857@qq.com> Date: Thu, 23 May 2024 19:18:39 +0800 Subject: [PATCH] update readme --- README.md | 22 +++++++--------------- README_zh.md | 12 ++++++------ 2 files changed, 13 insertions(+), 21 deletions(-) diff --git a/README.md b/README.md index 828f429..168dda1 100644 --- a/README.md +++ b/README.md @@ -46,7 +46,6 @@ - [Online Demo](#online-demo) - [Install](#install) - [Inference](#inference) - - [Hardware Requirements](#hardware-requirements) - [Model Zoo](#model-zoo) - [Multi-turn Conversation](#multi-turn-conversation) - [Inference on Mac](#inference-on-mac) @@ -473,22 +472,15 @@ pip install -r requirements.txt ## 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 | 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/)    [](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/)    [](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5-int4) | -| MiniCPM-V 2.0 | Light version, balance the performance the computation cost. | [🤗](https://huggingface.co/openbmb/MiniCPM-V-2)    [](https://modelscope.cn/models/OpenBMB/MiniCPM-V-2) | -| MiniCPM-V 1.0 | Lightest version, achieving the fastest inference. | [🤗](https://huggingface.co/openbmb/MiniCPM-V)    [](https://modelscope.cn/models/OpenBMB/MiniCPM-V) | + +| Model | GPU Memory |          Description | Download Link | +|:-----------|:-----------:|:-------------------|:---------------:| +| 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/)    [](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5) | +| 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/)    [](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5-int4) | +| MiniCPM-V 2.0 | 8 GB | Light version, balance the performance the computation cost. | [🤗](https://huggingface.co/openbmb/MiniCPM-V-2)    [](https://modelscope.cn/models/OpenBMB/MiniCPM-V-2) | +| MiniCPM-V 1.0 | -| Lightest version, achieving the fastest inference. | [🤗](https://huggingface.co/openbmb/MiniCPM-V)    [](https://modelscope.cn/models/OpenBMB/MiniCPM-V) | ### Multi-turn Conversation diff --git a/README_zh.md b/README_zh.md index 898dc10..cb22cff 100644 --- a/README_zh.md +++ b/README_zh.md @@ -487,12 +487,12 @@ pip install -r requirements.txt ### 模型库 -| 模型 | 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/)    [](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/)    [](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)    [](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)    [](https://modelscope.cn/models/OpenBMB/MiniCPM-V) | +| 模型 | 显存占用 |          简介 | 下载链接 | +|:--------------|:--------:|:-------------------|:---------------:| +| 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/)    [](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5) | +| 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/)    [](https://modelscope.cn/models/OpenBMB/MiniCPM-Llama3-V-2_5-int4) | +| 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)    [](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)    [](https://modelscope.cn/models/OpenBMB/MiniCPM-V) | 更多[历史版本模型](#legacy-models)