# Chinese-English bilingual

This is a static quantized version of the prithivMLmods/WR30a-Deep-7B-0711 model, supporting various natural language processing and visual understanding tasks.

GLM-4.1V-9B-Thinking is a powerful vision-language model (VLM) that focuses on multimodal understanding and reasoning, and provides efficient inference capabilities through the AWQ quantization version.

An efficient generative model that supports the conversion from image text to text and is suitable for various application scenarios.

Based on the ablated version of the large language model, with better performance than the original model, supporting Chinese, English, and long context processing.

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.

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