Model Genome fingerprints LLMs to expose hidden derivations
Model Genome is an open‑source pipeline that extracts a model’s config fingerprint, tokenizer overlap, and weight similarity, merging them into a single genotype. The tool shows that several Korean “self‑developed” LLMs match Qwen/Llama architectures, proving they’re derived, not trained from scratch. It lets auditors quickly spot undisclosed lineage.