#model editing

FastEdit provides a quick solution for injecting new information into large language models efficiently with just one command. It supports models such as GPT-J, LLaMA, and BLOOM, allowing for updated outputs. The tool requires Python 3.8+ and PyTorch 1.13.1+, leveraging Rank-One Model Editing for enhanced performance. Easy data preparation and installation enable effective model editing to maintain accuracy and relevance in multilingual contexts.

Edit ONNX models efficiently with a visual interface to reduce coding and iterations. Utilize Netron and Flask for easy graph modifications like adding or deleting nodes, renaming, and adjusting model attributes. Features include dynamic input shaping and initializer edits via the ONNX Python API. The tool can be accessed through command line, executable, or Docker, providing flexibility and ease for developers without diving deep into complex codes.