Update README.md

README.md

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 <!-- Provide a quick summary of what the model is/does. -->
 This model is a prototype of a large language model specifically fine-tuned for Fortran90 code generation. It is based on the Qwen 2.5 Coder 3B Instruct model and has been refined using Supervised Fine-Tuning.
 
-**There is a more powerful version of this model, which has also been fine-tuned using Reinforcement Learning with Verifiable Rewards (via GRPO).**
+**There is a more powerful version of this model at https://huggingface.co/GiuLeo01/FortranCodeGen-3B-SynthData, which has also been fine-tuned using Reinforcement Learning with Verifiable Rewards (via GRPO).**
 
 This model was fine-tuned briefly, without any human-labeled data and using only a single consumer GPU. Despite these clear constraints, the training process led to a 400% boost in performance on tasks involving simple to moderately complex fortran program generation (HumanEval-like). Compilation errors dropped as well, and the model now performs close to much larger general-purpose models that weren’t specifically trained for this task.