gpt2_small_expandedbabyLM_100M_wh_v2_100percent_43

A small GPT-2–architecture causal language model checkpoint trained on an expanded BabyLM dataset at 100 million tokens, produced as a research experiment. It is a compact, decoder-only text-generation model intended for research or benchmarking rather than production deployment. Source: supabase.