# DenseConnector-v1.5-7B
---


## README([From Huggingface](https://huggingface.co/HuanjinYao/DenseConnector-v1.5-7B))

---
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.




## Model Files

- [README.md](https://paddlenlp.bj.bcebos.com/models/community/HuanjinYao/DenseConnector-v1.5-7B/README.md) (1.3 KB)

- [config.json](https://paddlenlp.bj.bcebos.com/models/community/HuanjinYao/DenseConnector-v1.5-7B/config.json) (1.2 KB)

- [generation_config.json](https://paddlenlp.bj.bcebos.com/models/community/HuanjinYao/DenseConnector-v1.5-7B/generation_config.json) (170.0 B)

- [model-00001-of-00003.safetensors](https://paddlenlp.bj.bcebos.com/models/community/HuanjinYao/DenseConnector-v1.5-7B/model-00001-of-00003.safetensors) (4.6 GB)

- [model-00002-of-00003.safetensors](https://paddlenlp.bj.bcebos.com/models/community/HuanjinYao/DenseConnector-v1.5-7B/model-00002-of-00003.safetensors) (4.6 GB)

- [model-00003-of-00003.safetensors](https://paddlenlp.bj.bcebos.com/models/community/HuanjinYao/DenseConnector-v1.5-7B/model-00003-of-00003.safetensors) (4.1 GB)

- [model.safetensors.index.json](https://paddlenlp.bj.bcebos.com/models/community/HuanjinYao/DenseConnector-v1.5-7B/model.safetensors.index.json) (75.2 KB)

- [preprocessor_config.json](https://paddlenlp.bj.bcebos.com/models/community/HuanjinYao/DenseConnector-v1.5-7B/preprocessor_config.json) (393.0 B)

- [processor/eval/preprocessor_config.json](https://paddlenlp.bj.bcebos.com/models/community/HuanjinYao/DenseConnector-v1.5-7B/processor/eval/preprocessor_config.json) (393.0 B)

- [sentencepiece.bpe.model](https://paddlenlp.bj.bcebos.com/models/community/HuanjinYao/DenseConnector-v1.5-7B/sentencepiece.bpe.model) (488.0 KB)

- [special_tokens_map.json](https://paddlenlp.bj.bcebos.com/models/community/HuanjinYao/DenseConnector-v1.5-7B/special_tokens_map.json) (438.0 B)

- [tokenizer.model](https://paddlenlp.bj.bcebos.com/models/community/HuanjinYao/DenseConnector-v1.5-7B/tokenizer.model) (488.0 KB)

- [tokenizer_config.json](https://paddlenlp.bj.bcebos.com/models/community/HuanjinYao/DenseConnector-v1.5-7B/tokenizer_config.json) (936.0 B)

- [trainer_state.json](https://paddlenlp.bj.bcebos.com/models/community/HuanjinYao/DenseConnector-v1.5-7B/trainer_state.json) (615.1 KB)


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