# Mobile deployment

An ultra-lightweight Latin text line recognition model developed by the PaddleOCR team, supporting the recognition of Latin and numeric characters.

An ultra-lightweight Arabic letter recognition model developed by the PaddleOCR team, supporting the recognition of Arabic letters and numeric characters.

DepthPro is a monocular depth estimation model capable of predicting depth from a single image.

A Russian-optimized instruction model based on Llama-3.2-1B-Instruct, with a 5-fold increase in efficiency, suitable for deployment on low-power devices

MiniCPM is a series of edge large language models jointly open-sourced by Mianbi Intelligence and the Natural Language Processing Laboratory of Tsinghua University. The core language model, MiniCPM-2B, only contains 2.4 billion non-word embedding parameters.

GGUF quantized version of MobileLLaMA-1.4B-Base, suitable for local deployment and inference

MobileLLaMA-1.4B-Chat is a chat model fine-tuned from MobileLLaMA-1.4B-Base, utilizing the ShareGPT dataset for supervised instruction fine-tuning.