{"omc_version":"0.1","id":"abr-ai-niagara-38m-batch-en","name":"Niagara 38m Batch.en","provider":"Applied Brain Research","released":"2026-02-19","licence":"Custom licence","url":"https://huggingface.co/abr-ai/niagara-38m-batch.en","description":"Niagara is a 38-million-parameter English speech-to-text model built for extreme batch speed. It processes an hour of audio in under a second on benchmark hardware, though its accuracy drops sharply in meetings and accented speech.","modalities":["audio"],"context_window":null,"capabilities":{"transcription":1},"x_llmap_capability_sources":{"transcription":{"suite":"asr-wer","suite_name":"Open ASR WER","rank":67,"of":74,"score":8.301428571,"higher_is_better":false,"variant":null}},"relationships":[{"type":"successor-of","id":"abr-ai-niagara-19m-batch-en"},{"type":"same-family","id":"abr-ai-niagara-19m-batch-en"}],"card_meta":{"created":"2026-08-01T22:45:43.638Z","created_by":"LLMap pipeline","last_updated":"2026-08-03T20:17:25.192Z","source":"https://llmap.ai/models/abr-ai-niagara-38m-batch-en","omc_spec":"https://github.com/openmodelcard/spec"}}