File size: 1,301 Bytes
5d15f5c c1b907b 5d15f5c cfe4ce7 d4df4b2 cfe4ce7 c1b907b 5d15f5c c1b907b 5d15f5c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 |
---
inference: false
license: llama2
pipeline_tag: image-to-text
---
# DenseConnector-v1.5-7B 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 info:**
DenseConnector-v1.5-7B 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 dataset:**
This model is trained on [LLaVA-1.5](https://github.com/haotian-liu/LLaVA) dataset.
**Large Language Model:**
Vicuna-7B
## License
Llama 2 is licensed under the LLAMA 2 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.
|