|
--- |
|
license: llama3 |
|
pipeline_tag: image-to-text |
|
tags: |
|
- MLLMS |
|
- Connector |
|
--- |
|
|
|
|
|
|
|
# DenseConnector-v1.5-8B Model Card |
|
|
|
## Model 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](https://arxiv.org/abs/2405.13800) |
|
|
|
**Training datase:t** |
|
This model is trained on [LLaVA-1.5](https://github.com/haotian-liu/LLaVA) dataset. |
|
|
|
**Large Language Model:** |
|
Llama-3-8B-Instruct |
|
|
|
## License |
|
Llama 3 is licensed under the LLAMA 3 Community License, |
|
Copyright (c) Meta Platforms, Inc. All Rights Reserved. |
|
|
|
**Where to send questions or comments about the model:** |
|
https://github.com/HJYao00/DenseConnector/issues |
|
|
|
## Intended use |
|
**Primary intended uses:** |
|
The primary use of DenseConnector is research on large multimodal models and chatbots. |
|
|
|
**Primary intended users:** |
|
The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence. |
