MammothModa: Multi-Modal Large Language Model

Extending Context Window for High-In this report, we introduce MammothModa, yet another Resolution and Long-Duration Visual Features: The Visual multi-modal large language model (MLLM) designed to Merger Module effectively reduces the token count achieve state-of-the-art performance starting from an elementary for high-resolution images, while frame position IDs manage baseline. We focus on three key design insights: long-duration visual data without resorting to position (i) Integrating Visual Capabilities while Maintaining Complex interpolation. High-Quality Bilingual Datasets: To minimize Language Understanding: In addition to the vision encoder, visual hallucinations and improve model robustness, we incorporated the Visual Attention Experts into we meticulously curated and filtered a high-quality bilingual the LLM to enhance its visual capabilities.