MiniCPM4.1-8B GGUF is an efficient large language model designed specifically for edge devices. It has carried out systematic innovations in four key dimensions: model architecture, training data, training algorithm, and inference system, achieving extreme efficiency improvement. It supports a context length of 65,536 tokens and a hybrid inference mode.

Natural Language ProcessingTransformersMultiple Languages

MiniCPM4.1-8B-8bit is an 8-bit quantized version converted from the MiniCPM4.1-8B model, optimized for the MLX framework, providing efficient multimodal language processing capabilities

Natural Language ProcessingMlxMultiple Languages

MiniCPM4.1-8B-GGUF is a GGUF quantized format version of the MiniCPM4.1-8B model. It is an efficient large language model designed for edge devices, with 8 billion parameters, supporting integrated thinking, and can achieve more than 5 times the generation acceleration on typical edge chips.

Natural Language ProcessingTransformersMultiple Languages

MiniCPM4-8B is an efficient large language model designed specifically for edge devices. Through innovations in four dimensions: model architecture, training data, training algorithms, and inference systems, it achieves extreme efficiency improvements.

Natural Language ProcessingTransformersMultiple Languages

MiniCPM4 is an efficient large language model designed specifically for edge devices. While maintaining optimal performance at the same scale, it achieves extreme efficiency improvements, enabling over 5x generation acceleration on typical edge chips.

Natural Language ProcessingTransformersMultiple Languages

MiniCPM4-8B-Q8_0-GGUF is a model converted from openbmb/MiniCPM4-8B to GGUF format via llama.cpp, suitable for local inference.

Natural Language ProcessingTransformersMultiple Languages

MiniCPM4 is an efficient large language model designed specifically for edge devices, achieving extreme efficiency improvements and optimal performance at the same scale.

Natural Language ProcessingTransformersMultiple Languages

MiniCPM4-MCP is an open-source edge-side large language model agent model, built on MiniCPM-4 with 8 billion parameters. It can interact with various tools and data resources through MCP to solve a wide range of real-world tasks.

Natural Language ProcessingTransformersMultiple Languages

MiniCPM4 is an efficient large - language model designed specifically for edge devices. Through systematic innovation, it achieves extreme efficiency improvements in four key dimensions: model architecture, training data, training algorithm, and inference system.

Natural Language ProcessingTransformersMultiple Languages

MiniCPM4 is an efficient large language model designed specifically for edge devices. Through systematic innovation, it achieves extreme efficiency improvements in four dimensions: model architecture, training data, training algorithm, and inference system. It can achieve over 5 times faster generation speed on edge chips.

Natural Language ProcessingTransformersMultiple Languages

AgentCPM-GUI is an on-device graphical interface agent with RFT-enhanced reasoning capabilities, capable of operating Chinese and English applications, built upon the 8-billion-parameter MiniCPM-V.

MultimodalSafetensorsMultiple Languages

MiniCPM-S-1B-sft is a 1B-parameter language model optimized with activation sparsity techniques, achieving high-sparsity inference acceleration through the ProSparse method while maintaining performance comparable to the original model.

Natural Language ProcessingTransformersMultiple Languages

MiniCPM-o-2_6 is a multimodal conversion model supporting multiple languages and suitable for various tasks.

MultimodalGgufOther

MiniCPM-V 2.6 is a powerful multimodal large language model that can run efficiently on devices such as mobile phones and supports single-image, multi-image, and video understanding tasks.

MultimodalTransformersOther

This model has been tested on multiple Chinese and English datasets, including semantic text similarity and classification tasks.

Natural Language ProcessingTransformers

The int4 quantized version of MiniCPM-o 2.6, significantly reducing GPU VRAM usage while supporting multimodal processing capabilities.

MultimodalTransformersOther

MiniCPM-o 2.6 is a multimodal model that supports vision and language tasks, specifically designed for llama.cpp.

MultimodalGguf

MiniCPM-o 2.6 is a GPT-4o-level multimodal large model that runs on mobile devices, supporting vision, voice, and live stream processing

MultimodalTransformersOther

MiniCPM-V 2.6 is a GPT-4V-level multimodal large language model supporting single-image, multi-image, and video understanding, optimized for RK3588 NPU

MultimodalTransformersOther

The GGUF quantized version of MiniCPM-V-2_6, which realizes efficient image-text conversion based on llama.cpp

MultimodalGguf