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MODEL Listed

MiniCPM-o-2_6

MiniCPM-o-2_6 is an efficient 'any-to-any' multimodal model designed for real-time, seamless interaction across text, vision, and audio modalities. Unlike traditional pipelines that chain separate models for vision and speech, this model architecture enables direct cross-modal processing, significantly reducing latency for interactive applications. For developers, this means you can build sophisticated agents capable of seeing, hearing, and speaking within a single integrated framework. It is particularly optimized for edge deployment and mobile environments where computational resources are constrained, offering a high performance-to-parameter ratio. Whether you are working on real-time visual assistants, automated transcription with visual context, or complex multi-modal reasoning engines, MiniCPM-o-2_6 provides a versatile foundation that competes with much larger proprietary models while remaining accessible under the Apache-2.0 license.

openbmbany to any
01 / MODEL CARD

Model card

MiniCPM-o-2_6 is an efficient 'any-to-any' multimodal model designed for real-time, seamless interaction across text, vision, and audio modalities. Unlike traditional pipelines that chain separate models for vision and speech, this model architecture enables direct cross-modal processing, significantly reducing latency for interactive applications. For developers, this means you can build sophisticated agents capable of seeing, hearing, and speaking within a single integrated framework. It is particularly optimized for edge deployment and mobile environments where computational resources are constrained, offering a high performance-to-parameter ratio. Whether you are working on real-time visual assistants, automated transcription with visual context, or complex multi-modal reasoning engines, MiniCPM-o-2_6 provides a versatile foundation that competes with much larger proprietary models while remaining accessible under the Apache-2.0 license.

Model typeany to any
Provideropenbmb
Licenseapache-2.0
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/openbmb/MiniCPM-o-2_6
View model source
Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: openbmb/MiniCPM-o-2_6
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model openbmb/MiniCPM-o-2_6
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model openbmb/MiniCPM-o-2_6 README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('openbmb/MiniCPM-o-2_6')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/openbmb/MiniCPM-o-2_6.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/openbmb/MiniCPM-o-2_6.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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