openbmb/MiniCPM-V-4.7-1B
image-text-to-text model by openbmb
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Model card & documentation
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GitHub · Evaluation · Examples · Usage · Model weights · DSpark MiniCPM-V 4.7 is the latest model in the MiniCPM-V series, available in a 1B variant. 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: 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 a limited resource budget calls for higher capability density. The 1B variant of MiniCPM-V 4.7 advances the performance–efficiency Pareto frontier for MLLMs. In Instruct mode, the 1B variant continues to improve foundation capabilities over MiniCPM-V 4.6 and substantially outperforms Qwen3.5 0.8B in both overall score and inference efficiency. Based on the intra-ViT early compression technique from LLaVA-UHD v4, MiniCPM-V 4.7 compresses visual tokens early within the vision encoder, reducing…
Read the full model card ↗ · Preview checked 2026-10-30T04:55:25.014Z
Inside the original model card — Document outline
- MiniCPM-V 4.7
- Get started
- Evaluation
- Examples
- Usages
- Inference with Transformers
- Installation
- Load the Model
- Image Inference
- Video Inference
- Advanced Parameters
- Serving with transformers serve
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Model overview
openbmb/MiniCPM-V-4.7-1B 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)
- 33,388
- Cumulative likes
- 394
- Hugging Face trending score
- 192
- Reported safetensors parameters
- 1,554,476,272
- Architecture
- MiniCPMV4_7ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-06T17:40:13.000Z
- Last modified
- 2026-10-19T12:53:37.000Z
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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