MiniCPM4.1-8B

Papers using or citing this model 2

• MiniCPM4: Ultra-Efficient LLMs on End Devices 60 citations · 2025 · arXiv (Cornell University) · arXiv

  This paper introduces MiniCPM4, a highly efficient large language model (LLM) designed explicitly for end-side devices. We achieve this efficiency through systematic innovation in four key dimensions: model architecture, training data,...

• InfLLM-V2: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation 32 citations · 2025 · arXiv (Cornell University) · arXiv

  Long-sequence processing is a critical capability for modern large language models. However, the self-attention mechanism in the standard Transformer architecture faces severe computational and memory bottlenecks when processing long...