markusheimerl/gpt

Code for BLT research paper

Code for Bolmo: Byteifying the Next Generation of Language Models

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Mamba SSM architecture

RoNet 2026: Build Transformer Models and Byte-Level BPE Tokenizers in Pure Tensors

The most atomic way to train and inference a GPT in pure, dependency-free C

Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT

Implementation for MatMul-free LM.

Implementation of the recurrent looped transformer proposed by Yifan Zhang of Princeton