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README.md

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 # Llama-3-SEC: A 20B token checkpoint for SEC Data Analysis
 
 Introducing Llama-3-SEC: a state-of-the-art domain-specific large language model that is set to revolutionize the way we analyze and understand SEC (Securities and Exchange Commission) data. Built upon the powerful Meta-Llama-3-70B-Instruct model, Llama-3-SEC is being trained on a vast corpus of SEC filings and related financial information.
-We are thrilled to announce the open release of a 19B token checkpoint of Llama-3-SEC. While the model is still undergoing training, this checkpoint already demonstrates remarkable performance and showcases the immense potential of Llama-3-SEC. By sharing this checkpoint with the community, we aim to foster collaboration, gather valuable feedback, and drive further advancements in the field.
+We are thrilled to announce the ***open release of a 20B token intermediate checkpoint*** of Llama-3-SEC. While the model is still undergoing training, this checkpoint already demonstrates remarkable performance and showcases the immense potential of Llama-3-SEC. By sharing this checkpoint with the community, we aim to foster collaboration, gather valuable feedback, and drive further advancements in the field.
 
 The 19B token checkpoint of Llama-3-SEC offers unparalleled insights and analysis capabilities for financial professionals, investors, researchers, and anyone working with SEC data. However, this is just the beginning – as we continue to train and refine the model, Llama-3-SEC will only become more powerful and sophisticated.
 We invite you to explore the model's capabilities and join us on this exciting journey as we unlock the full potential of Llama-3-SEC. Together, we can shape the future of financial data analysis and push the boundaries of what is possible with domain-specific large language models.