During February 2026, Nevermind1025 developed support for Falcon-H1-Tiny-Coder FIM tokens within the vocabulary loader of the ggml-org/llama.cpp repository. Leveraging expertise in C++, machine learning, and natural language processing, Nevermind1025 implemented targeted changes that enable the loader to correctly process specialized FIM token types during both tokenization and inference. This update addressed the need for robust handling of Falcon-H1-Tiny-Coder workflows, laying the foundation for broader FIM token coverage in future iterations. The work was delivered as a focused feature addition, demonstrating depth in understanding tokenization mechanics and contributing to improved extensibility of the llama.cpp codebase.