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!