Aaryan Pathak contributed to the huggingface/transformers repository by addressing a critical bug in the Kosmos-2.5 model’s forward path. He resolved an issue where in-place modification of the inputs_embeds tensor could lead to unintended side effects during inference and training. By cloning the tensor before modification, Aaryan ensured the original data remained unchanged across forward passes, improving model stability and reproducibility. He updated the test suite to verify the immutability of inputs_embeds and prevent regression. This work, implemented in Python using PyTorch and deep learning best practices, enhanced the reliability of Kosmos-2.5 without altering the public API.