The article introduces SPHINX-X, a series of Multi-modality Large Language Models (MLLMs) developed based on SPHINX. This model aims to enhance the architecture and training efficiency by removing unnecessary visual…
Continue readingThe article presents SPHINX-X, an enhancement of the SPHINX framework for multi-modal large language models (MLLMs). SPHINX-X improves architecture and training efficiency by removing redundant visual encoders, simplifying multi-stage training,…
Continue readingThe article presents SPHINX, a versatile multi-modal large language model (MLLM) that incorporates a joint mixing strategy of model weights, tuning tasks, and visual embeddings. The model is designed to…
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