Harrier OSS v1 27B is a text embedding specialist — it takes language in and produces dense vector representations rather than generating text. At 27 billion parameters with a 131K token context window, it can encode long documents into embeddings in a single pass, which is unusual for models of this type. The MIT license and open weights make it freely inspectable and deployable without usage restrictions.