Llava V1.5 7b Gguf
LLaVA is an open-source multimodal chatbot, fine-tuned on LLaMA/Vicuna and trained with GPT-generated multimodal instruction-following data.
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Release Time : 2/15/2024
Model Overview
LLaVA is an autoregressive language model based on the Transformer architecture, primarily used for research on large multimodal models and chatbots.
Model Features
Multimodal Capability
Capable of processing both image and text inputs for cross-modal interaction
Instruction Following
Specifically trained to understand and execute complex multimodal instructions
Open-source Model
Built on the open-source foundation models LLaMA/Vicuna
Model Capabilities
Image caption generation
Visual question answering
Multimodal dialogue
Instruction following
Use Cases
Academic Research
Multimodal Model Research
Used to study the performance and capabilities of vision-language models
Human-Computer Interaction Research
Exploring multimodal-based chatbot interaction methods
Education
Visual-Assisted Learning
Helping students understand concepts through a combination of images and text
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