In May 2025, Akannan enhanced model loading capabilities in the tenstorrent/tt-forge-models repository by implementing PyTorch loaders for EfficientNet, Falcon, Segformer, ViT, and Vovnet, enabling end-to-end execution of these deep learning models within the Forge framework. Akannan introduced abstract interfaces for model decoding and sample input generation, establishing a standardized approach for future model integration and simplifying downstream development. The work leveraged Python and Hugging Face Transformers, focusing on maintainability and extensibility. Although the project spanned a single feature, the depth of abstraction and forward-looking design laid a robust foundation for ongoing deep learning model support.