← Latest products

NanoEuler

GPT-2 scale model in pure C/CUDA from scratch. GPT-2-style LLM built from scratch in C/CUDA with hand-written backprop, BPE tokenizer, FlashAttention, pretraining, and SFT. The two interesting reasons that led me to create nanoeuler were (1) interfacing with llm does not mean understanding how they are composed and (2), working on llm with a very low-level layer to understand the correlation between parameters and data and growth of the model and how the GPU works and.

Open source

127 stars · GitHubexternal site

Visit github.comexternal site

Reactions (2)

Similar products

by description similarity

  1. UNet diffusion model in pure CUDA

    Hacker News8 pts

  2. Simple UI for LLM Model Finetuning

    Hacker News449 pts

  3. Tiny-vLLM

    github.com

    high performance LLM inference engine in C++ and CUDA

    Hacker News205 pts

  4. DPO, GRPO)

    Hacker News21 pts

  5. CLI tool and library for 3D Gaussian splat processing and conversion

    Hacker News5 pts