Add base model to the model card

README.md

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 ## Overview
 
-Chirp-3b is a high-performing 3B parameter language model crafted by the Ozone Research team. Fine-tuned from a robust base model, it was trained on 50 million tokens of distilled data from GPT-4o. This compact yet powerful model delivers exceptional results, outperforming expectations on benchmarks like MMLU Pro and IFEval.
+Chirp-3b is a high-performing 3B parameter language model crafted by the Ozone Research team. Fine-tuned from a robust base model (Qwen2.5 3B Instruct), it was trained on 50 million tokens of distilled data from GPT-4o. This compact yet powerful model delivers exceptional results, outperforming expectations on benchmarks like MMLU Pro and IFEval.
 
 Chirp-3b is an open-source effort to push the limits of what small-scale LLMs can achieve, making it a valuable tool for researchers and enthusiasts alike.