karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Fast GPT-2 inference written in Fortran
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The simplest, fastest repository for training/finetuning medium-sized GPTs.
Run GPT model on the browser with WebGPU. An implementation of GPT inference in less than ~1500 lines of vanilla Javascript.
An experimental open-source attempt to make GPT-4 fully autonomous.
PyTorch Implementation of OpenAI GPT-2
Use GPT4 and GPT3.5 on inputs of unlimited size. Uses multithreading to process multiple chunks in parallel. Useful for tasks like Named Entity Recognition, information extraction on large books, datasets, etc.
Fast inference engine for Transformer models