DenseConnector-v1.5-8B Open Source Chatbot - Free to Use, Enjoy Seamless and Precise Conversations

Denseconnector V1.5 8B

Developed by HuanjinYao

DenseConnector is an open-source chatbot, fine-tuned based on LLaMA/Vicuna and trained using GPT-generated multimodal instruction-following data.

Image-to-Text

Transformers

#Multimodal Instruction Following #Open-source Chatbot #LLaVA Fine-tuning

Downloads 17

Release Time : 5/24/2024

Model Overview

DenseConnector is an autoregressive language model based on the Transformer architecture, primarily used for research on large multimodal models and chatbots.

Model Features

Multimodal Instruction Following

Trained on GPT-generated multimodal instruction-following data, capable of handling image-to-text tasks.

Open-source Chatbot

Provides open-source chatbot functionality by fine-tuning LLaMA/Vicuna.

Transformer-based Architecture

Utilizes the Transformer architecture of autoregressive language models, offering robust language understanding and generation capabilities.

Model Capabilities

Image-to-text conversion

Multimodal instruction following

Chatbot interaction

Use Cases

Research

Large Multimodal Model Research

Used to study the performance of multimodal models in image understanding and text generation.

Chatbot Development

Serves as a foundational model for open-source chatbots, supporting natural language interaction.

Property	Details
Model Type	DenseConnector is an open - source chatbot trained by fine - tuning LLaMA/Vicuna on GPT - generated multimodal instruction - following data. It is an auto - regressive language model, based on the transformer architecture.
Model Date	DenseConnector - v1.5 - 8B was trained in 05/2024.
Paper or resources for more information	https://github.com/HJYao00/DenseConnector
Paper on Hugging Face	arxiv.org/abs/2405.13800
Training Data	This model is trained on [LLaVA - 1.5](https://github.com/haotian - liu/LLaVA) dataset.
Large Language Model	Llama - 3 - 8B - Instruct

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Denseconnector V1.5 8B

Model Overview

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