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DataBubble·

Model Detail

openbmb logo

MiniCPM-V-4.6

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Provider: openbmbCategory: multimodalPipeline: image-text-to-text
DB Score
2.0
Downloads
517K
Likes
1K
Day
+0.0%
Week
+33.1%
Month
+0.0%
Overview

MiniCPM-V-4.6 is a multimodal model with 650M parameters released by openbmb. The model is registered under the image-text-to-text pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.

Technical

MiniCPM-V-4.6 ships with 650M parameters. Total weight footprint is approximately 1.3 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Trending Signal

Downloads of MiniCPM-V-4.6 have moved +33.1% over the trailing seven days. That puts the model in active uptrend territory; a sustained move of this size usually reflects a recent release, a viral integration, or a benchmark surprise rather than steady-state demand. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Read about databubble_score →
Use Cases

MiniCPM-V-4.6 is best fit for mixed text-and-image reasoning tasks such as document understanding. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Research Paper
arXiv: 2604.27393→
Model Info
Licenseapache-2.0
Citations1 (0 influential)
Recent newsView all news →
Related News
arxivneutral35d ago

MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction

arXiv:2604.27393v1 Announce Type: new Abstract: Recent progress in multimodal large language models (MLLMs) has brought AI capabilities from static offline data processing to real-time streaming interaction, yet they still remain far from human-level multimodal interaction. The key bottlenecks are n

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