MiniCPM V 4.6

--- license: apache-2.0 pipeline_tag: image-text-to-text tags: - minicpm-v - multimodal - On-Device Model - lightweight library_name: transformers --- A Pocket-Sized MLLM for Ultra-Efficient Image and Video Understanding on Your Phone [GitHub](https://github.com/OpenBMB/MiniCPM-o) | [CookBook](https://github.com/OpenSQZ/MiniCPM-V-CookBook) | [Demo](https://huggingface.co/spaces/openbmb/MiniCPM-V-4.6-Demo) | [Feishu (Lark)](https://raw.githubusercontent.com/openbmb/MiniCPM-V/main/assets/feishu_qrcode.png) ## News * [2026.05.17] ⭐️⭐️⭐️ We release the API service of MiniCPM-V 4.6, with a **public free API key** together! Try [it](https://github.com/OpenBMB/MiniCPM-V/blob/main/docs/api.md) now. ## MiniCPM-V 4.6 **MiniCPM-V 4.6** is our most edge-deployment-friendly model to date. The model is built based on SigLIP2-400M and the Qwen3.5-0.8B LLM. It inherits the strong single-image, multi-image, and video understanding capabilities of MiniCPM-V family, while significantly improving computation efficiency. It also introduces mixed 4x/16x visual token compression. Notable features of MiniCPM-V 4.6 include: - 🔥 **Leading Foundation Capability.** MiniCPM-V 4.6 scores 13 on the Artificial Analysis Intelligence Index benchmark, outperforming Qwen3.5-0.8B's score of 10 with 19x fewer token cost, and Qwen3.5-0.8B-Thinking's score of 11 with 43x fewer token cost. It also surpasses the larger Ministral 3 3B (score of 11). - 💪 **Strong Multimodal Capability.** MiniCPM-V 4.6 outperforms Qwen3.5-0.8B on most vision-language understanding tasks, and reaches Qwen3.5 2B-level capability on many benchmarks including OpenCompass, RefCOCO, HallusionBench, MUIRBench, and OCRBench. - 🚀 **Ultra-Efficient Architecture.** Based on the latest technique in [LLaVA-UHD v4](https://github.com/THUMAI-Lab/LLaVA-UHD-v4), MiniCPM-V 4.6 reduces the visual encoding computation FLOPs by more than 50%. It enables MiniCPM-V 4.6 to achieve better efficiency to even smaller models, achieving ~1.5x token throughput compared to Qwen3.5-0.8B. It also supports mixed 4x/16x visual token compression rate, allowing flexible switching between accuracy and speed. - 📱 **Broad Mobile Platform Coverage.** MiniCPM-V 4.6 can be deployed across all three mainstream mobile platforms — iOS, Android, and HarmonyOS. With every edge adaptation code open-sourced, developers can reproduce the on-device e...

Source context: 951433 downloads · 1144 likes · Pipeline image-text-to-text · Library transformers · Repo openbmb/MiniCPM-V-4.6

Source context: 0 downloads · 304 likes · Pipeline image-text-to-text · Repo openbmb/MiniCPM-V-4.6