A lightweight multi-modal language model Android application.
MNN-LLM is an efficient inference framework designed to optimize and accelerate the deployment of large language models on mobile devices and local PCs. It solves the problem of high memory consumption and computational cost through model quantization, hybrid storage and hardware-specific optimization. MNN-LLM performs well in CPU benchmarks and is significantly faster, making it suitable for users who require privacy protection and efficient inference.
This product is suitable for users who have high requirements for data privacy, such as developers, AI enthusiasts, and creators who need to use multi-modal generation tools. It provides a safe and efficient way to use large language models without worrying about data leakage.
Text-to-text generation tasks using MNN-LLM.
Real-time audio conversion on Android devices.
Generate textual descriptions related to images through the application.
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