openbmb/MiniCPM-V-4.7-35B-A3B — new model trending #29 on Hugging Face
OpenBMB released MiniCPM-V 4.7 35B-A3B, its first on-device mixture-of-experts vision-language model.
OpenBMB published MiniCPM-V 4.7 in a 35B-A3B mixture-of-experts variant, the first MoE model in the MiniCPM-V series, with weights on Hugging Face. It covers single-image, multi-image, and video understanding, and the card claims on-device decoding above 13 tokens per second in about 3 GB on an iPhone 17 Pro Max using Lookahead Expert Scheduling, layer-wise quantization, and speculative sampling. In Instruct mode, 35B-A3B is said to beat Qwen3.6 35B-A3B on overall score in less inference time. The release supports iOS, Android, and HarmonyOS, GGUF, AWQ, GPTQ, and FP8 checkpoints, and inference through SGLang, vLLM, llama.cpp, and Ollama.
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