LightGPT

LightGPT-instruct-6B Overview

LightGPT-instruct-6B is an advanced language model developed by AWS Contributors and is based on GPT-J 6B. This model has undergone fine-tuning on the OIG-small-chip2 instruction dataset, which comprises around 200,000 training examples and is licensed under Apache-2.0.

Model Capabilities

The main purpose of this model is to generate text in response to prompts containing specific instructions in a standardized format. The model identifies the completion of its response when the input prompt concludes with the token "### Response:\n". It 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 includes example code to demonstrate the process.

Evaluation Metrics

The performance of the model is assessed using a variety of metrics such as LAMBADA PPL (perplexity), LAMBADA ACC (accuracy), WINOGRANDE, HELLASWAG, PIQA, and GPT-J.

Limitations

It is important to note certain limitations of the model as outlined in the documentation. These limitations include the model's potential struggle to accurately follow long instructions, provide incorrect responses to math and reasoning questions, and occasionally generate false or misleading outputs. Additionally, the model lacks contextual understanding and the responses it generates are solely based on the input prompt.

Use Case

The LightGPT-instruct-6B model serves as a natural language generation tool suitable for generating responses to a wide range of conversational prompts, particularly those that require specific instructions.