minicpm-v
minicpm-v is See, hear, and interact on your local devices. Contribute to OpenBMB/MiniCPM-V development by creating an account on GitHub.. It is ranked #1128 on the AI Radar, in Open & local models, first seen 24 days ago and shared in 38 posts (2.6M views).
GitHub - OpenBMB/MiniCPM-V: See, hear, and interact on your local devices. · GitHub Skip to content Navigation Menu Sign in Appearance settings Search / Sign in Sign up Appearance settings You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} Repository navigation MiniCPM-V Public Notifications You must be signed in to change notification settings Fork 2.1k ( 2.1k ) Star 27k ( 27k ) You must be signed in to star a repository About See, hear,…
What people said about minicpm-v on X
📱 35B parameters. Real-time inference. On a phone. Meet Lookahead Expert Scheduling (LES), the inference system powering MiniCPM-V 4.7’s 35B-A3B MoE model on edge devices. 🚀 On an iPhone 18 Pro Max, the full system reaches 20.51 tokens per second, a 6.07× speedup over loading expert weights on demand. How? Three…
— @OpenBMB, 9 days ago · 185 likes · see the post
🐱 Who’s been drinking from the water bowl? MiniCPM-V helps keep track. Our ambassador @emwstudio built esp32-eye, an open-source monitor that recognizes individual cats and logs their daily drinking events, using MiniCPM-V 4.7, two ESP32-S3 boards, and a MacBook. 💧 From camera feed to daily counts, here’s how it…
— @OpenBMB, 1 days ago · 22 likes · see the post
Alternatives to minicpm-v
- kimi-k3.1-pro — Releasing the model weights of Kimi K3.1 Pro
- unsloth.ai — Guide to running Mistral Large 4 GGUFs locally with Unsloth and llama.cpp.
- niklaslenz.com — Play the world in your browser. Every number, the exact command and the raw output
- qwen3.8-flash-next-gguf — Image-Text-to-Text model with 177B parameters. Download, explore files and run it on Hugging Face.
- project-maya — Plus a round of fixes, UI improvements and community PRs.
- twil-8b — Text Generation model with 9B parameters. Download, explore files and run it on Hugging Face.
minicpm-v in numbers
- Rank on the AI Radar: #1128 of 10412
- Shared in 38 posts by 20 accounts: @OpenBMB
- 2.6M views on those posts
- First seen 24 days ago, last shared 1 days ago
- Pricing seen by AGK Intelligence: open source
- Market: Open & local models
FAQ
What is minicpm-v?
See, hear, and interact on your local devices. Contribute to OpenBMB/MiniCPM-V development by creating an account on GitHub. It was first shared on X 24 days ago and is ranked #1128 on the AI Radar.
Is minicpm-v free?
It is open source.
Who shared minicpm-v?
20 accounts on X, including @OpenBMB, in 38 posts totalling 2.6M views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.5k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 16:50 UTC. Full method.