OpenBMB logo

MiniCPM-V 4.7 35B-A3B

OpenBMBOpen WeightsPending Human Review

MiniCPM-V 4.7 35B-A3B is a public OpenBMB vision-language checkpoint uploaded on October 6. Its official repository contains 16 downloadable BF16 weight shards totaling approximately 35.21B parameters, a hybrid linear/full-attention mixture-of-experts language configuration, and image/video processing metadata. The configuration permits 262,144 positions, but no model card or validated context specification was published in the inspected repository, so no supported context limit is asserted here. Text and visual inputs produce language output through the conditional-generation architecture. The license, training ancestry, evaluated capabilities, and benchmark results remain undisclosed at the audit time; a public weight upload does not supply missing usage rights.

2026-10-06
35.21B total; approximately 3B active tier
Hybrid linear/full-attention vision-language Mixture-of-Experts Transformer
Undisclosed

Specifications

Parameters
35.21B total; approximately 3B active tier
Architecture
Hybrid linear/full-attention vision-language Mixture-of-Experts Transformer
License
Undisclosed
Type
multimodal
Modalities
textimagevideo

Benchmark Scores

Advanced Specifications

Model Family
MiniCPM
API Access
Not Available
Chat Interface
Not Available

Capabilities & Limitations

Capabilities
vision-language generationimage inputvideo input
Known Limitations
No weight license or model card was present at audit timeArchitectural maximum context is not a validated operating limitTraining ancestry and benchmark performance are unverifiedUse requires compatible new model and processor implementations
Notable Use Cases
evaluation of a newly published vision-language checkpointmultimodal deployment research

Related Models