Training a 3.8B LLM to 0.384 CORE for $998 – Hugo Vergnes
Hugo Vergnes trained a 3.8B parameter LLM for $998, achieving 0.384 CORE score. The project highlights the significance of a configuration-driven framework.
Hugo Vergnes demonstrates that an individual can train a meaningful model with just a few thousand dollars. His 3.8B-parameter model achieved a score of 0.384 on CORE after training on 65B tokens in 43 hours. The project emphasizes the importance of good infrastructure in AI development.
This synthesis was produced from its source by AI; there is no human editor or manual review step. How we work