MiniCPM 4.0

MiniCPM 4.0 is a family of ultra-efficient, open-source models for on-device AI. Offers significant speed-ups on edge chips, strong performance, and includes highly quantized BitCPM versions.

MiniCPM 4.0 is an ultra-efficient, open-source AI model family optimized for on-device deployment. It delivers significant speed improvements on edge chips while maintaining strong performance, making it ideal for resource-constrained environments. Key features include highly quantized BitCPM versions for reduced memory footprint, efficient sparse attention mechanisms for long-text processing, and optimized training algorithms. The model also supports 128K context lengths and outperforms larger models in benchmarks. MiniCPM 4.0 is designed for real-world applications, offering fast inference and cross-platform compatibility. Its compact size (0.5B and 8B versions) makes it accessible for edge devices without sacrificing capability. Developed by leading research institutions, it provides a cost-effective alternative to larger models while maintaining high performance in tasks like summarization, tool use, and multilingual understanding. The open-source nature encourages community contributions and customization.