Axxon Yen enhanced the unslothai/unsloth repository by delivering a user-facing input flexibility feature for LlamaModel_fast_forward. This work introduced an optional input_ids parameter, enabling the model to handle scenarios where only inputs_embeds are provided, thereby improving input handling and overall usability. Axxon addressed a critical edge case by fixing a missing code path, which increased the reliability of input processing. The implementation focused on robust code quality and efficient workflows, leveraging deep learning and machine learning principles in Python. This contribution demonstrated thoughtful engineering depth by resolving nuanced input requirements and strengthening the model’s adaptability for diverse user needs.