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Sure, here's a model card based on the information you provided:
---
# Model Card: NousResearch/Llama-2-7b-chat-hf Fine-tuned Model
## Model Details:
- **Model Name:** NousResearch/Llama-2-7b-chat-hf
- **Fine-tuned Model Name:** llama-2-7b-kiranbeethoju
- **Dataset Used for Fine-tuning:** mlabonne/guanaco-llama2-1k
## Model Description:
This model is based on the NousResearch/Llama-2-7b-chat-hf architecture and has been fine-tuned with the dataset mlabonne/guanaco-llama2-1k to enhance its performance for specific tasks.
## Intended Use:
This model is intended to be used for natural language processing tasks, particularly in chatbot applications or conversational agents.
## Factors to Consider:
- **Accuracy:** The model's accuracy is subject to the quality and representativeness of the fine-tuning dataset.
- **Bias and Fairness:** Care should be taken to assess and mitigate any biases present in both the original model and the fine-tuning dataset.
- **Safety and Security:** As with any AI model, precautions should be taken to ensure that the model is not deployed in contexts where its outputs could cause harm.
## Ethical Considerations:
- **Privacy:** It's important to handle user data responsibly and ensure that privacy is maintained when deploying the model in production environments.
- **Transparency:** Users interacting with systems powered by this model should be made aware that they are interacting with an AI system.
- **Accountability:** Clear procedures should be in place to address any issues or errors that arise from the model's use.
## Limitations:
- The model's performance may vary depending on the similarity of the fine-tuning dataset to the target task or domain.
- It may exhibit biases present in the original model or amplified through fine-tuning.
## Caveats:
- While the model has been fine-tuned for specific tasks, it's essential to conduct thorough testing and validation before deploying it in production environments.
## Citation:
If you use this model or the fine-tuned version in your work, please cite the original model as follows:
```
@article{nousresearch_llama2_2022,
title={LLAMA: Large Language Model Augmented},
author={NousResearch},
journal={GitHub},
year={2022},
url={https://github.com/NousResearch/LLAMA}
}
```
---
Feel free to adjust any sections or add additional information as needed! |