---
title: MiniCPM-o-2_6-gguf
canonical_url: "https://www.modelscope.cn/models/OpenBMB/MiniCPM-o-2_6-gguf"
md_url: "https://www.modelscope.cn/models/OpenBMB/MiniCPM-o-2_6-gguf.md"
repository: OpenBMB/MiniCPM-o-2_6-gguf
last_updated: 2026-08-24
license: apache-2.0
pipeline_tag: any-to-any
tasks:
  - any-to-any
base_model:
  - openbmb/MiniCPM-o-2_6
base_model_relation: quantized
library_name:
  - gguf
  - pytorch
frameworks:
  - Pytorch
downloads: 4945
stars: 11
tags:
  - minicpm-o
  - gguf
---

# MiniCPM-o-2_6-gguf

> MiniCPM-o-2_6-gguf - OpenBMB 在 ModelScope 开源的模型。A GPT-4o Level MLLM for Vision, Speech and Multimodal Live Streaming on Your Phone

OpenBMB/MiniCPM-o-2_6-gguf 是 ModelScope 魔搭社区上的any-to-any模型，采用 apache-2.0 许可，基于 openbmb/MiniCPM-o-2_6 构建。

- **Repository**: OpenBMB/MiniCPM-o-2_6-gguf
- **License**: apache-2.0
- **Tasks**: any-to-any
- **Base model**: openbmb/MiniCPM-o-2_6
- **Tags**: minicpm-o, gguf
- **Downloads**: 4945
- **Stars**: 11
- **Last updated**: 2026-08-24

Source: https://www.modelscope.cn/models/OpenBMB/MiniCPM-o-2_6-gguf

---

<h1>A GPT-4o Level MLLM for Vision, Speech and Multimodal Live Streaming on Your Phone</h1>

[GitHub](https://github.com/OpenBMB/MiniCPM-o) | [MiniCPM Wiki(Chinese)](https://modelbest.feishu.cn/wiki/UtWxwcERfiRIpIkBOjuc3h9tn1D) | [Online Demo](https://minicpm-omni-webdemo-us.modelbest.cn) | [Technical Blog](https://openbmb.notion.site/MiniCPM-o-2-6-A-GPT-4o-Level-MLLM-for-Vision-Speech-and-Multimodal-Live-Streaming-on-Your-Phone-185ede1b7a558042b5d5e45e6b237da9) | [Join Us](https://mp.weixin.qq.com/mp/wappoc_appmsgcaptcha?poc_token=HAV8UWijqB3ImPSXecZHlOns7NRgpQw9y9EI2_fE&target_url=https%3A%2F%2Fmp.weixin.qq.com%2Fs%2FKIhH2nCURBXuFXAtYRpuXg%3F)

## MiniCPM-o 2.6

This repository contains the [MiniCPM-o 2.6](https://huggingface.co/openbmb/MiniCPM-o-2_6) model weights in GGUF format, used for llama.cpp.

Currently, this readme only supports minicpm-omni's vision capabilities, and we will update the full-mode support as soon as possible.

### Prepare models and code

Download [MiniCPM-o-2_6](https://huggingface.co/openbmb/MiniCPM-o-2_6) PyTorch model from huggingface to "MiniCPM-o-2_6" folder.

Clone llama.cpp:
```bash
git clone git@github.com:OpenBMB/llama.cpp.git
cd llama.cpp
git checkout minicpm-omni
```

### Usage of MiniCPM-o 2.6

Convert PyTorch model to gguf files (You can also download the converted [gguf](https://huggingface.co/openbmb/MiniCPM-o-2_6-gguf) by us)

```bash
python ./examples/llava/minicpmv-surgery.py -m ../MiniCPM-o-2_6
python ./examples/llava/minicpmv-convert-image-encoder-to-gguf.py -m ../MiniCPM-o-2_6 --minicpmv-projector ../MiniCPM-o-2_6/minicpmv.projector --output-dir ../MiniCPM-o-2_6/ --image-mean 0.5 0.5 0.5 --image-std 0.5 0.5 0.5 --minicpmv_version 4
python ./convert_hf_to_gguf.py ../MiniCPM-o-2_6/model

# quantize int4 version
./llama-quantize ../MiniCPM-o-2_6/model/ggml-model-f16.gguf ../MiniCPM-o-2_6/model/ggml-model-Q4_K_M.gguf Q4_K_M
```

Build llama.cpp using `CMake`:
https://github.com/ggerganov/llama.cpp/blob/master/docs/build.md

```bash
cmake -B build
cmake --build build --config Release
```

Inference on Linux or Mac
```
# run f16 version
./llama-minicpmv-cli -m ../MiniCPM-o-2_6/model/ggml-model-f16.gguf --mmproj ../MiniCPM-o-2_6/mmproj-model-f16.gguf -c 4096 --temp 0.7 --top-p 0.8 --top-k 100 --repeat-penalty 1.05 --image xx.jpg -p "What is in the image?"

# run quantized int4 version
./llama-minicpmv-cli -m ../MiniCPM-o-2_6/model/ggml-model-Q4_K_M.gguf --mmproj ../MiniCPM-o-2_6/mmproj-model-f16.gguf -c 4096 --temp 0.7 --top-p 0.8 --top-k 100 --repeat-penalty 1.05 --image xx.jpg  -p "What is in the image?"

# or run in interactive mode
./llama-minicpmv-cli -m ../MiniCPM-o-2_6/model/ggml-model-Q4_K_M.gguf --mmproj ../MiniCPM-o-2_6/mmproj-model-f16.gguf -c 4096 --temp 0.7 --top-p 0.8 --top-k 100 --repeat-penalty 1.05 --image xx.jpg -i
```