Llm.c – LLM training in simple, pure C/CUDA(github.com)
810 points by tosh | 134 comments
GitHub repository for llm.c, Andrej Karpathy's project for training LLMs like GPT-2 in simple, raw C/CUDA.
810 points by tosh | 134 comments
GitHub repository for llm.c, Andrej Karpathy's project for training LLMs like GPT-2 in simple, raw C/CUDA.
288 points by Palmik | 108 comments
343 points by gjvc | 154 comments
GitHub repository for Peredvizhnikov Engine, a fully lock-free game engine written in C++20 and licensed under GPL-3.0.
404 points by orixilus | 48 comments
GitHub repository llama3.np, a pure NumPy implementation of the Llama 3 language model for inference.
972 points by tfinch | 253 comments
GitHub repository for Mozilla-Ocho's llamafile, a tool to distribute and run large language models as a single executable file.
542 points by PaulPauls | 80 comments
GitHub repository with an end-to-end PyTorch pipeline for LLM interpretability using sparse autoencoders on Llama 3.2, replicating Anthropic/OpenAI/DeepMind research.
404 points by orixilus | 48 comments
GitHub repository llama3.np, a pure NumPy implementation of the Llama 3 language model for inference.
1182 points by msoad | 356 comments
GitHub pull request #613 in llama.cpp by jart, merged, which uses mmap to make loading model weights 10-100x faster and reduce RAM usage.
414 points by sadiq | 144 comments
GitHub repository for OpenLLaMA, an Apache-2.0 licensed open reproduction of Meta's LLaMA language model, with a 200B-token preview release.
357 points by redm | 163 comments
GitHub repository for Microsoft's BitNet, the official inference framework for 1-bit large language models.