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3.8B LLM

model1 events
tipsSEP 10 02:04 UTC

Blog Post Details Training a 3.8B LLM to 0.384 CORE for $998

A write-up by Hugo Vergnes describes training a 3.8-billion-parameter language model that reached a 0.384 score on the CORE benchmark for roughly $998 in compute costs. The post walks through the data, hardware, and training choices behind that result. It appears aimed at readers interested in low-budget, reproducible model training.

training/benchmarks/llm/cost-efficiency