openbmb/MiniCPM-V-4.7-35B-A3B
image-text-to-text model by openbmb
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Model card & documentation
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GitHub · On-device results · Evaluation · Examples · Usage · Model weights · DSpark MiniCPM-V 4.7 is the latest model in the MiniCPM-V series, available in a 35B-A3B variant, with 35B-A3B being the first MoE model in the MiniCPM-V series. It builds on the family's single-image, multi-image, and video understanding capabilities, combining stronger foundation capabilities with efficient visual encoding and on-device inference. Notable features of MiniCPM-V 4.7 include: With our Lookahead Expert Scheduling (LES) technique introduced alongside MiniCPM-V 4.7, combined with fine-grained layer-wise quantization and DSpark speculative sampling integration, MiniCPM-V 4.7 35B-A3B becomes the first open-source MoE model to run smoothly on-device without compromising performance, achieving a decoding speed of 13+ tokens/s with just 3 GB of memory on iPhone 17 Pro Max. As model capabilities continue to advance, inference efficiency has become an important measure of a model's value. On resource-constrained devices, delivering the strongest possible capabilities within…
Read the full model card ↗ · Preview checked 2026-10-30T04:58:24.903Z
Inside the original model card — Document outline
- MiniCPM-V 4.7
- Get started
- On-Device Capability and Efficiency
- Smooth On-Device MoE Inference without compromising performance
- Evaluation
- Examples
- Usages
- Inference with Transformers
- Installation
- Load the Model
- Image Inference
- Video Inference
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Model overview
openbmb/MiniCPM-V-4.7-35B-A3B is a image-text-to-text model repository published by openbmb on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- transformers
- Recent downloads (30 days)
- 76,410
- Cumulative likes
- 1,071
- Hugging Face trending score
- 699
- Reported safetensors parameters
- 35,212,875,824
- Architecture
- MiniCPMV4_7ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-07T07:07:30.000Z
- Last modified
- 2026-10-19T12:52:58.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-20T06:42:37.394Z. Daily imports are snapshots, not real-time monitoring.
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