LightGPT

 

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Freemium
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AWS Contributors have developed LightGPT-instruct-6B, a language model that is fine-tuned on the OIG-small-chip2 instruction dataset, consisting of around 200K training examples. The model is built to generate text in response to prompts with specific instructions following a standardized format and is trained specifically for English conversations. It recognizes the end of its response when the input prompt ends with the “### Response:n” token. The deployment of the LightGPT-instruct-6B model to Amazon SageMaker is supported, and example code is provided in the documentation to illustrate the process. The model’s performance is evaluated using various metrics, including LAMBADA PPL (perplexity), LAMBADA ACC (accuracy), WINOGRANDE, HELLASWAG, PIQA, and GPT-J. While the model can generate responses to a wide range of conversational prompts requiring specific instructions, it has some limitations, such as struggling with accurately following long instructions, providing incorrect answers to math and reasoning questions, and occasionally generating false or misleading responses. Additionally, the model lacks contextual understanding and generates responses solely based on the given prompt.

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