LLAMA7B-CHAT-RAMAYANA

Introduction

The LLAMA7B-CHAT-RAMAYANA model is fine-tuned on the first chapter of the Valmiki Ramayana. It focuses on the foundational aspects of the epic, providing insights into key events, characters, and teachings. This model enables interactive conversations about the Ramayana, offering detailed, context-aware responses.

Architecture

• Base Model: Meta-llama/Llama-2-7b-chat-hf
• Library Name: PEFT

Training

Details regarding the training data and procedure have not been provided. The training hyperparameters and evaluation metrics are also unspecified. Further information is needed to understand the training process and environmental impact.

Guide: Running Locally

1. Setup Environment:

   • Install necessary libraries and dependencies (e.g., PEFT 0.13.2).

2. Download Model:

   • Clone or download the model files from the repository.

3. Run the Model:

   • Utilize the model in a Python environment to engage in conversations about the Ramayana.

4. Hardware:

   • For optimal performance, consider using cloud GPUs such as those offered by AWS, Azure, or Google Cloud.

License

Information about the license for the LLAMA7B-CHAT-RAMAYANA model is not provided. Additional details are required to understand the usage rights and restrictions.