面壁智能 MiniCPM-V 4.6 下载量达200万

OpenBMB · @OpenBMB · X·2026-07-07 22:14·55天前
AI 导读

面壁智能 MiniCPM-V 4.6 下载量达200万。该小尺寸多模态模型在 Artificial Analysis Index 得分13,超过 Qwen3.5-0.8B(10分)及其思考变体(11分),token 消耗少19倍/43倍;TTFT 75.7ms,比 Qwen3.5-0.8B 快2.2倍(3136²高分辨率)。原生支持 iOS、Android、HarmonyOS,边缘代码开源;支持 vLLM、SGLang、llama.cpp、Ollama 部署及 GGUF/BNB/AWQ/GPTQ 量化。

OpenBMB@OpenBMB
50AI 编辑部评分,满分 100

面壁智能 MiniCPM-V 4.6 下载量达200万

2026-07-07 22:14· 55天前
AI 导读

面壁智能 MiniCPM-V 4.6 下载量达200万。该小尺寸多模态模型在 Artificial Analysis Index 得分13,超过 Qwen3.5-0.8B(10分)及其思考变体(11分),token 消耗少19倍/43倍;TTFT 75.7ms,比 Qwen3.5-0.8B 快2.2倍(3136²高分辨率)。原生支持 iOS、Android、HarmonyOS,边缘代码开源;支持 vLLM、SGLang、llama.cpp、Ollama 部署及 GGUF/BNB/AWQ/GPTQ 量化。

🚀 MiniCPM-V 4.6 has just hit 2,000,000 downloads! The pocket-sized MLLM that delivers big performance with tiny resources. Thank you to the entire community for making this possible! ❤️

🔥 Scores 13 on Artificial Analysis Index – beating Qwen3.5-0.8B (10) & Thinking variant (11) with 19x/43x fewer tokens. ⚡ TTFT 75.7ms – 2.2x faster than Qwen3.5-0.8B, even at 3136² high-res. 📱 Native support for iOS, Android & HarmonyOS – all edge code open-sourced. 🛠️ Developer-ready – vLLM, SGLang, llama.cpp, Ollama, and GGUF/BNB/AWQ/GPTQ quantizations.

Try it: Hugging Face: https://huggingface.co/openbmb/MiniCPM-V-4.6 GitHub: https://github.com/OpenBMB/MiniCPM-V Modelscope:https://modelscope.cn/models/OpenBMB/MiniCPM-V-4.6