"A from-scratch implementation of a modern Large Language Model (LLaMA architecture). Features full backpropagation calculus in pure NumPy, followed by a GPU-accelerated PyTorch training loop."

A from-scratch PyTorch LLM implementing Sparse Mixture-of-Experts (MoE) with Top-2 gating. Integrates modern Llama-3 components (RMSNorm, SwiGLU, RoPE, GQA) and a custom-coded Byte-Level BPE tokenizer. Pre-trained on a curated corpus of existential & dark philosophical literature.