This model is a GGUF format conversion of llava-hf/llava-1.5-7b-hf, supporting image-to-text generation tasks.

MultimodalGgufEnglish

This project provides weighted/matrix quantized versions of the llava-1.5-13b-hf model, including various quantization types to meet the usage requirements in different scenarios.

MultimodalTransformersEnglish

This is a static quantized version of the llava-hf/llava-1.5-13b-hf model, offering multiple quantization type options to help users use this vision-language model more efficiently. The model supports image understanding and text generation tasks.

MultimodalTransformersEnglish

A multimodal foundation model fine-tuned based on LLaVA-1.5-7B, optimized for plant leaf disease detection and interpretation

MultimodalTransformers

A multimodal vision-language model trained on the Llava-1.5-Instruct dataset, compatible with the Prismatic version.

MultimodalTransformersEnglish

LLaRA is an open-source visual motion strategy model, fine-tuned from LLaVA-7b-v1.5 on instruction-following data and auxiliary datasets, primarily used for robotics research.

MultimodalTransformers

Math-LLaVA-13B is an open-source multimodal large language model fine-tuned on the MathV360K dataset based on LLaVA-1.5-13B, suitable for scenarios such as multimodal reasoning and Q&A.

MultimodalTransformers

A Chinese medical multimodal large language model based on the LLaVA-1.5 architecture, focusing on visual question answering tasks in the medical field.

MultimodalTransformersChinese

A multimodal vision-language model based on LLaVA-1.5-7B trained through Visual Supervised Fine-Tuning (VSFT), supporting image understanding and dialogue generation

MultimodalTransformersEnglish

SpaceLLaVA is an improved vision-language model based on LLaVA-1.5, enhanced with LoRA fine-tuning for spatial reasoning capabilities, suitable for both quantitative and qualitative spatial reasoning tasks.

MultimodalGgufEnglish

ChartLlama is a multimodal model based on the LLaVA-1.5 architecture, specializing in chart understanding and analysis tasks.

Natural Language ProcessingTransformersEnglish