openbmb/MiniCPM-V-4.7-1B

main boardmodel

MiniCPM-V 4.7 is the latest model in the MiniCPM-V series, available in a 1B variant. Dense, 1.6B params. Context: 256K tokens (config). License: apache-2.0. Vendor-reported: "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." Vendor-reported: "In Instruct mode, 1B substantially outperforms Qwen3.5 0.8B in both overall score and inference efficiency."

Vendor-reported: 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.
Vendor-reported: In Instruct mode, 1B substantially outperforms Qwen3.5 0.8B in both overall score and inference efficiency.

Org: openbmb
Released: 2026-10-06
Status: main board
License: apache-2.0 (permissive)
Parameters: 1.6B
Architecture: dense · MiniCPMV4_7ForConditionalGeneration
Context: 262,144 tokens
Task: image-text-to-text · vision
Signal: 405 HF likes · 116673 downloads · 1 X post(s)

Runs on

real quant files; need = weights + FP16 KV cache for 8K tokens + 1GB. A sizing calculation, not tested.

Q4 ~2.1 GB: no listed device
Q8 ~2.5 GB: no listed device
FP16 ~3.9 GB: 8GB GPU (4060 / 3070), 12GB GPU (RTX 3060), 16GB GPU (5060 Ti / 4060 Ti / 4080 / 5080), 24GB GPU (3090 / 4090), 32GB GPU (5090), 48GB GPU (RTX 6000 Ada / A6000), 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), 2× DGX Spark (256GB), 16GB GPU (7800 XT / 9070 XT), 24GB GPU (7900 XTX), Strix Halo 128GB unified (~96GB usable), Arc B60 24GB, Arc B70 32GB, Mac 16GB, Mac 24GB, Mac 36GB, Mac 48GB, Mac 64GB (M1 Max), Mac 96GB, Mac 128GB, Mac 192GB, Mac 256GB, Mac 512GB, CPU only, 32GB RAM (slow), CPU only, 64GB RAM (slow), CPU only, 128GB RAM (slow), CPU only, 256GB RAM (slow)

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First published here 2026-10-06 · updated 2026-10-06 · markdown · JSON