parakeet-ultra-coreml
Core ML build of moondream/parakeet-ultra, a full-precision post-training of `nvidia/parakeet-tdt-0.6b-v3`. Same architecture, 25 languages, tokenizer and output conventions as v3; drop-in for the v3 component contract. Encoder is int8 linear per-channel (595 MB); decoder and joint are re-exported from the Ultra checkpoint; preprocessor and vocabulary are the v3 ones. Ultra wins all 24 FLEURS languages. The int8 encoder scores the same WER as an fp16 export (2.13 % / 3.79 %). Speed is within a few percent of v3 run back to back on the same machine (test-clean 126.7× vs 128.6× on the ANE). Conversion recipe: FluidInference/mobius `models/stt/parakeet-ultra/coreml`. License CC-BY-4.0, as the upstream checkpoint.
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Core ML build of moondream/parakeet-ultra, a full-precision post-training of `nvidia/parakeet-tdt-0.6b-v3`. Same architecture, 25 languages, tokenizer and output conventions as v3; drop-in for the v3 component contract. Encoder is int8 linear per-channel (595 MB); decoder and joint are re-exported from the Ultra checkpoint; preprocessor and vocabulary are the v3 ones. Ultra wins all 24 FLEURS languages. The int8 encoder scores the same WER as an fp16 export (2.13 % / 3.79 %). Speed is within a few percent of v3 run back to back on the same machine (test-clean 126.7× vs 128.6× on the ANE). Conversion recipe: FluidInference/mobius `models/stt/parakeet-ultra/coreml`. License CC-BY-4.0, as the upstream checkpoint.
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