AgGPT-8m is a foundational language model designed to generate human-like text using a transformer architecture. It can predict the next word or generate entire sentences based on a given input, leveraging attention to improve the contextual relevance of its predictions.

This model is designed to be more capable than AgGPT-6m while being significantly more lightweight than AgGPT-9. It is ideal for use cases that require a balance between performance and resource consumption. This model serves as a foundation in understanding the inner workings of language models, as it is designed to be easily understood, while being more complex than the AgGPT-6m counterpart. This model serves as a cornerstone in the AgGPT series, and will help with the development of AgGPT-10.