A compact, focused model that takes two pieces of text and returns a relevance score between them — no embeddings, no generation, just a direct judgment call. It's trained on French passage retrieval data, so it handles French-language query-document pairs with particular attentiveness. The six-layer architecture keeps it lightweight and fast, though the 514-token context window means it works best with shorter passages.