From 4e76fdb3bceb4c9f91af9ad24530bb67c4187145 Mon Sep 17 00:00:00 2001 From: yiranyyu <2606375857@qq.com> Date: Fri, 24 May 2024 14:01:48 +0800 Subject: [PATCH] update readme --- README.md | 5 +++-- README_zh.md | 1 + 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index cb02168..8c9ab92 100644 --- a/README.md +++ b/README.md @@ -477,10 +477,11 @@ pip install -r requirements.txt ### Model Zoo -| Model | GPU Memory |          Description | Download Link | +| Model | Memory |          Description | Download | |:-----------|:-----------:|:-------------------|:---------------:| | 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-Llama3-V 2.5 gguf | 5 GB | The gguf version, lower GPU memory and faster inference. | [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-gguf)          | +| MiniCPM-Llama3-V 2.5 int4 | 8 GB | The 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 | 7 GB | Lightest version, achieving the fastest inference. | [🤗](https://huggingface.co/openbmb/MiniCPM-V)    [](https://modelscope.cn/models/OpenBMB/MiniCPM-V) | diff --git a/README_zh.md b/README_zh.md index fbca106..2853caf 100644 --- a/README_zh.md +++ b/README_zh.md @@ -491,6 +491,7 @@ pip install -r requirements.txt | 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 gguf | 5 GB | gguf 版本,更低的内存占用和更高的推理效率。 | [🤗](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-gguf)         | | 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 | 7 GB | 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) |