OpenBMB/MiniCPM-V

★27,005Python🇨🇳 Greater ChinaApache-2.0⑂ 2,119Issue 44Updated Oct 28, 2026

See, hear, and interact on your local devices.

MiniCPM-V 4.7 brings MoE multimodal AI to phones and edge devices — MiniCPM-V 4.7 adds a 35B-A3B MoE variant plus a 1B model, claiming better accuracy-per-latency than Qwen3.6 35B-A3B and Qwen3.5 0.8B. It's the first open-source MoE model said to run smoothly on-device, aimed at developers wanting local image, video and document understanding without cloud inference.

LLMs & MLminicpmminicpm-ominicpm-vmulti-modal

Metrics

Relative growth (7d)+0%Growth over the last 7 days relative to size
Acceleration-49%Change in growth pace from the week before
Attention24The three metrics scaled to 0–100 and combined

Retention can be computed 30 days after a repository first trends (it isn't shown until then). See About for how each metric is defined.

Star growth and Trending appearances (last 30 days)

First listed+127★/dayWeekly
Sep 30, 2026Oct 29, 2026

Bands mark days on the trending list (darker = higher rank)

Daily trending ranks as a table (1 days)
DateWeekly
Oct 20, 2026
python #13 +337

Created Jan 29, 2024 · First on trending Oct 20, 2026

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