MiniCPM-o-2_6-GGUF Open-Source Multi-Modal Conversion Model - Supports Multilingual Processing for Diverse Tasks

Minicpm O 2 6 GGUF

Developed by second-state

MiniCPM-o-2_6 is a multimodal conversion model supporting multiple languages and suitable for various tasks.

Text-to-Image Other#Multimodal Conversion #Lightweight Deployment #Multilingual Support

Downloads 506

Release Time : 3/11/2025

Model Overview

MiniCPM-o-2_6 is a multimodal conversion model based on the transformers library, supporting multiple languages and applicable to tasks such as text generation and image analysis.

Model Features

Multimodal Conversion

Supports conversion tasks involving text, images, and other modalities.

Multilingual Support

Supports text generation and comprehension in multiple languages.

Quantization Support

Provides various quantized versions of the model to meet different hardware and scenario requirements.

Model Capabilities

Text Generation

Image Analysis

Multimodal Conversion

Use Cases

Text Generation

Multilingual Text Generation

Generate text content in multiple languages.

Image Analysis

Image Caption Generation

Generate descriptive text based on images.

Property	Details
Base Model	openbmb/MiniCPM-o-2_6
Model Creator	openbmb
Model Name	MiniCPM-o-2_6
Quantized By	Second State Inc.
Pipeline Tag	any-to-any
Library Name	transformers
Language	multilingual

Name	Quant method	Bits	Size	Use case
MiniCPM-o-2_6-Q2_K.gguf	Q2_K	2	3.01 GB	smallest, significant quality loss - not recommended for most purposes
MiniCPM-o-2_6-Q3_K_L.gguf	Q3_K_L	3	4.09 GB	small, substantial quality loss
MiniCPM-o-2_6-Q3_K_M.gguf	Q3_K_M	3	3.81 GB	very small, high quality loss
MiniCPM-o-2_6-Q3_K_S.gguf	Q3_K_S	3	3.49 GB	very small, high quality loss
MiniCPM-o-2_6-Q4_0.gguf	Q4_0	4	4.43 GB	legacy; small, very high quality loss - prefer using Q3_K_M
MiniCPM-o-2_6-Q4_K_M.gguf	Q4_K_M	4	4.68 GB	medium, balanced quality - recommended
MiniCPM-o-2_6-Q4_K_S.gguf	Q4_K_S	4	4.46 GB	small, greater quality loss
MiniCPM-o-2_6-Q5_0.gguf	Q5_0	5	5.31 GB	legacy; medium, balanced quality - prefer using Q4_K_M
MiniCPM-o-2_6-Q5_K_M.gguf	Q5_K_M	5	5.44 GB	large, very low quality loss - recommended
MiniCPM-o-2_6-Q5_K_S.gguf	Q5_K_S	5	5.31 GB	large, low quality loss - recommended
MiniCPM-o-2_6-Q6_K.gguf	Q6_K	6	6.25 GB	very large, extremely low quality loss
MiniCPM-o-2_6-Q8_0.gguf	Q8_0	8	8.10 GB	very large, extremely low quality loss - not recommended
MiniCPM-o-2_6-f16.gguf	f16	16	15.2 GB
MiniCPM-o-2_6-mmproj-model-f16.gguf	f16	16	1.04 GB

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Minicpm O 2 6 GGUF

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 MiniCPM-o-2_6-GGUF

📚 Documentation

Original Model

Run with LlamaEdge

Quantized GGUF Models