shows that LLMs often struggle with accurately encoding numbers, leading to compression losses that cause errors in subsequent computations . Since a printed CIF file represents structures by listing atomic sites with fractional coordinates up to six digits, we expected the match rate of structures parsed from CIF to be low. Additionally, we hypothesize that the inclusion of the CIF in the training degrades the quality of code generation during inference due to the increased number of irrelevant tokens in the output.