# Text Understanding

Janus-Pro-7B is a powerful multimodal model capable of processing both text and image data simultaneously. By separating the visual encoding pathways, it addresses the conflicts found in traditional models during understanding and generation tasks, enhancing both flexibility and performance. Built on the DeepSeek-LLM architecture, it uses the SigLIP-L as the visual encoder, supporting image inputs of 384x384 pixels, and excels in multimodal tasks. Its main advantages include efficiency, flexibility, and robust multimodal processing capabilities, making it ideal for scenarios requiring multimodal interaction, such as image generation and text understanding.

InternVL 2.5 is a series of advanced multimodal large language models (MLLMs). Building on InternVL 2.0, it enhances training and testing strategies and improves data quality while maintaining its core model architecture. This model integrates the newly pre-trained InternViT with various pre-trained large language models (LLMs) such as InternLM 2.5 and Qwen 2.5, using a randomly initialized MLP projector. InternVL 2.5 supports multiple images and video data, employing a dynamic high-resolution training method to enhance its capability to handle multimodal data.

Pixtral Large is a cutting-edge multimodal AI model introduced by Mistral AI, built upon Mistral Large 2. It features advanced image understanding capabilities, enabling comprehension of documents, charts, and natural images while retaining Mistral Large 2's leadership in text understanding. The model has demonstrated exceptional performance in multimodal benchmarks, surpassing other models in tests such as MathVista, ChartQA, and DocVQA. It has also shown competitiveness in the MM-MT-Bench tests, outperforming various models, including Claude-3.5 Sonnet. The model is available under the Mistral Research License (MRL) for research and educational purposes and the Mistral Commercial License for commercial use.

Huanyuan-DiT is Tencent's first bilingual DiT architecture AI model, focusing on Chinese element understanding. It boasts long-text comprehension capabilities and fine-grained semantic understanding. This model can analyze and understand information in lengthy texts and generate corresponding artistic works, including but not limited to portraits, creative designs, etc. The launch of Huanyuan-DiT is significant in enhancing the depth and breadth of Chinese text understanding and promoting bilingual communication between Chinese and English.