MiniCPM 4.1
The on-device model for your personal data
MiniCPM 4.1 launched on September 9, 2025 with 116 votes, #284 of 8,160 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
MiniCPM 4.1 is a new 8B open-source model designed for the edge. Featuring a novel trainable sparse attention architecture, it brings efficient "deep thinking" and long-context capabilities to on-device AI, achieving state-of-the-art performance for its size.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
✅ Strong Reasoning Capability: Surpasses similar-sized models on 15 tasks! ✅ Efficient Architecture: Trainable sparse attention, frequency-ranked speculative decoding! MiniCPM4.1 launches end-side versions with 8B parameter scale, both achieving best-in-class performance in their respective categories. MiniCPM4.1 adopts sparse attention and speculative decoding to improve the inference efficiency. On RTX 4090, MiniCPM4.1 achieves 3x decoding speed improvement in reasoning. MiniCPM 4.1 can be used with following frameworks: Huggingface Transformers, SGLang, vLLM, and CPM.cu. For the ultimate inference speed, we highly recommend CPM.cu. MiniCPM4/MiniCPM4.1 supports both dense attention…from huggingface.co
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