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面壁智能 OpenBMB更新于 10月14日 22:32

MiniCPM-V 4.7 本地 VLM 效率与质量胜过 Qwen 3.6

Interesting result for local VLMs. MiniCPM-V 4.7 35B-A3B not only used fewer tokens, but also produced a better voxel pagoda than Qwen 3.6 35B-A3. Efficiency +

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本地 VLM 的有趣结果。MiniCPM-V 4.7 35B-A3B 不仅用了更少的 token,还比 Qwen 3.6 35B-A3 生成了更好的体素宝塔。效率 + 质量正成为多模态模型真正的战场。🔥

引用

atomic.chat

@atomic_chat_hq

MiniCPM-V 4.7 beat Qwen 3.6 35B-3A at Pagoda 🏯 @OpenBMB's new 35B-A3 model made a better 3D Voxel Japanese Pagoda while consuming 10% less tokens than Qwen 3.6 35B-3A Run AI models locally -> https://t.co/RbcCOIgVkj https://t.co/v1QqvQBwpe

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Interesting result for local VLMs. MiniCPM-V 4.7 35B-A3B not only used fewer tokens, but also produced a better voxel pagoda than Qwen 3.6 35B-A3. Efficiency + quality is becoming the real battleground for multimodal models.🔥

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面壁智能 OpenBMB