As an AI language model, I do not have a physical memory size like a computer or a human brain. However, I have been trained on a large corpus of text data, which allows me to generate responses to various inputs.

My training data includes a vast collection of text documents, such as books, articles, and websites. This data is used to create a language model that can understand and generate human-like language. The size of my training data determines how much information I can recall and use to generate responses.

For example, if someone asks me a question about a specific topic that I have encountered in my training data, I can use that information to generate a relevant response. However, if someone asks me about a topic that I have not encountered before, my response may not be as accurate or complete.

In general, the more training data I have, the larger my memory size is considered to be. However, the quality of the training data is also important, as it affects the accuracy and relevance of my responses.

In summary, as an AI language model, I do not have a physical memory size, but my ability to recall and generate responses is determined by the size and quality of my training data.