LightGPT-instruct-6B is an AWS Contributors-developed language model that is based on GPT-J 6B. It has been fine-tuned on the OIG-small-chip2 instruction dataset, which consists of about 200K training examples and is licensed under Apache-2.0.

Model Capabilities: This model is designed to generate text in response to prompts with specific instructions, following a standardized format. It detects the completion of its response when the input prompt ends with the token "### Response:\n". The model is specifically trained for English conversations.

Deployment and Example Code: The deployment of the LightGPT-instruct-6B model to Amazon SageMaker is supported, and the documentation provides example code to demonstrate the process.

Evaluation Metrics: The performance of the model is assessed using various metrics, including LAMBADA PPL (perplexity), LAMBADA ACC (accuracy), WINOGRANDE, HELLASWAG, PIQA, and GPT-J.

Limitations: The documentation highlights certain limitations of the model, such as potential difficulties in accurately following lengthy instructions, providing incorrect answers to math and reasoning questions, and occasionally producing false or misleading responses. Moreover, the model lacks contextual understanding and generates responses solely based on the given prompt.

Use Case: The LightGPT-instruct-6B model serves as a natural language generation tool that is suitable for generating responses to a broad array of conversational prompts, including those requiring specific instructions.