Model card
MiniCPM-o-4_5 is an end-to-end omni-modal model designed for seamless any-to-any interaction. Unlike traditional pipelines that chain separate vision, audio, and text models together—often leading to high latency and information loss—this architecture processes multiple modalities natively. For developers, this means significantly improved temporal alignment in video understanding and more natural, low-latency responses in voice-based applications. It is particularly well-suited for edge deployment and real-time multimodal agents where computational efficiency is critical. While larger proprietary models offer higher raw reasoning power, MiniCPM-o-4_5 provides a competitive alternative for developers needing high-performance multimodal capabilities within a more manageable footprint. It integrates easily into existing workflows via Hugging Face and is released under the Apache 2.0 license, making it highly accessible for commercial integration and fine-tuning.
Model files and versions
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.
openbmb/MiniCPM-o-4_5Install the CLI and SDK dependency before downloading.
pip install modelscopeDownload the complete weights, configuration and model card.
modelscope download --model openbmb/MiniCPM-o-4_5README.md is used as an example; replace it with another repository file when needed.
modelscope download --model openbmb/MiniCPM-o-4_5 README.md --local_dir ./dirUseful in Python projects and automation scripts.
from modelscope import snapshot_download
model_dir = snapshot_download('openbmb/MiniCPM-o-4_5')Make sure Git LFS is installed correctly.
git lfs install
git clone https://www.modelscope.cn/openbmb/MiniCPM-o-4_5.gitFetch the repository structure first, then pull large files when needed.
GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/openbmb/MiniCPM-o-4_5.gitHow to use
- 01Step 1
Read the model card and source information.
- 02Step 2
Start with a small, non-sensitive evaluation.
- 03Step 3
Review quality, licensing and usage limits.
- 04Step 4
Adopt it only after validation.
Discussions
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