OpenBMB· @OpenBMB · X·· 3 小时前AI 评分59
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面壁智能 OpenBMB 转发社区分享，介绍 MiniCPM V4.7：35B-A3B 端侧 MoE 版在 iPhone 17 Pro Max 上以约 3GB 内存达到 13+ tok/s，综合得分和推理时间优于 Qwen3.6 35B-A3B。1B 轻量 VLM 在性能和效率上均优于 Qwen3.5 0.8B；两版本支持图像、多图与视频理解，4×/16× 视觉 token 压缩，覆盖 iOS、Android 与 HarmonyOS，采用 Apache 2.0 协议。
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Appreciate you sharing this @AdinaYakup ! 🙌
It’s exciting to see the community’s interest in pushing local multimodal AI forward, from phones to edge devices.
Let's start the week with MiniCPM V4.7 from @OpenBMB 🔥 ✨ 35B-A3B: On-device MoE - 35B/ 3B active ⚡️ - 13+ tok/s on iPhone 17 Pro Max with ~3GB RAM - Outperforms Qwen3.6 35B-A3B in overall score AND inference time ✨1B: Ultra-lightweight VLM - Outperforms Qwen3.5 0.8B in BOTH performance & efficiency ✨ Both support: - Image, multi-image & video understanding - Efficient 4×/16× visual token compression - iOS, Android & HarmonyOS - Apache 2.0在 X 查看被引用的帖子
来源：OpenBMB · x.com