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 # Model Description
 
 CodeRM-8B is a small yet powerful model designed to enable efficient and high-quality unit test generation. 
-It is trained based on Llama3.1-8B-Instruct on a dataset of 60k high-quality synthetic Python unit tests. 
+It is trained based on **Llama3.1-8B-Instruct** on a dataset of 60k high-quality synthetic Python unit tests. 
 These unit tests are derived from two well-regarded code instruction tuning datasets: 
 [CodeFeedback-Filtered-Instruction](https://huggingface.co/datasets/m-a-p/CodeFeedback-Filtered-Instruction) and the 
 training set of [TACO](https://huggingface.co/datasets/BAAI/TACO).