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13.5 kB
| { | |
| "name": "Nemotron 3.5 ASR Streaming Multilingual 0.6B \u2014 CoreML", | |
| "base_model": "nvidia/nemotron-asr-streaming-multilingual-0.6b", | |
| "base_model_checkpoint": "2026-05-29 update", | |
| "architecture": "Conformer encoder + RNN-T decoder", | |
| "runtime": "CoreML / Apple Neural Engine", | |
| "benchmark_machine": "Apple M5 Pro / macOS 26.5", | |
| "benchmark_dataset": "FLEURS test (all languages)", | |
| "models": { | |
| "latin": { | |
| "folder": "latin", | |
| "vocab_size": 2828, | |
| "serves": [ | |
| "en", | |
| "es", | |
| "fr", | |
| "it", | |
| "pt", | |
| "de" | |
| ] | |
| }, | |
| "multilingual": { | |
| "folder": "multilingual", | |
| "vocab_size": 13087, | |
| "serves": [ | |
| "zh", | |
| "ja", | |
| "100+ via prompt_id" | |
| ] | |
| } | |
| }, | |
| "recipe": "LAYERPOS [42,13] mixed-precision encoder (INT8 cuff + 6-bit middle) + Latin-script vocab prune (latin model) / full vocab (multilingual) + B1 decoder-joint fusion + triple-stage pipelining. Encoder shared across both models per tier.", | |
| "no_retraining": true, | |
| "no_calibration": true, | |
| "tiers_ms": [ | |
| 560, | |
| 1120, | |
| 2240, | |
| 4480 | |
| ], | |
| "recommended_tier_ms": 2240, | |
| "ships": [ | |
| { | |
| "path": "latin/560ms", | |
| "model": "latin", | |
| "languages_served": [ | |
| "en", | |
| "es", | |
| "fr", | |
| "it", | |
| "pt", | |
| "de" | |
| ], | |
| "chunk_ms": 560, | |
| "latency_s": 0.56, | |
| "chunk_mel_frames": 56, | |
| "total_mel_frames": 65, | |
| "att_context": [ | |
| 42, | |
| 13 | |
| ], | |
| "vocab_size": 2828, | |
| "vocab_pruned": true, | |
| "vocab_prune_method": "latin-script (writing-system, domain-general)", | |
| "components": [ | |
| "decoder", | |
| "decoder_joint", | |
| "encoder", | |
| "joint", | |
| "preprocessor" | |
| ], | |
| "formats": [ | |
| "mlmodelc" | |
| ], | |
| "benchmarks": [ | |
| { | |
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| "metric": "WER", | |
| "n": 647, | |
| "test_set": "FLEURS en_us", | |
| "wer_pct": 9.43 | |
| }, | |
| { | |
| "language_code": "es", | |
| "rtfx": 58.2, | |
| "metric": "WER", | |
| "n": 908, | |
| "test_set": "FLEURS es_419", | |
| "wer_pct": 4.95 | |
| }, | |
| { | |
| "language_code": "fr", | |
| "rtfx": 57.4, | |
| "metric": "WER", | |
| "n": 676, | |
| "test_set": "FLEURS fr_fr", | |
| "wer_pct": 9.68 | |
| }, | |
| { | |
| "language_code": "it", | |
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| "metric": "WER", | |
| "n": 865, | |
| "test_set": "FLEURS it_it", | |
| "wer_pct": 5.68 | |
| }, | |
| { | |
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| "metric": "WER", | |
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| "test_set": "FLEURS pt_br", | |
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| }, | |
| { | |
| "language_code": "de", | |
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| "metric": "WER", | |
| "n": 862, | |
| "test_set": "FLEURS de_de", | |
| "wer_pct": 10.83 | |
| } | |
| ] | |
| }, | |
| { | |
| "path": "latin/1120ms", | |
| "model": "latin", | |
| "languages_served": [ | |
| "en", | |
| "es", | |
| "fr", | |
| "it", | |
| "pt", | |
| "de" | |
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| ], | |
| "vocab_size": 2828, | |
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| "vocab_prune_method": "latin-script (writing-system, domain-general)", | |
| "components": [ | |
| "decoder", | |
| "decoder_joint", | |
| "encoder", | |
| "joint", | |
| "preprocessor" | |
| ], | |
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| { | |
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| "test_set": "FLEURS es_419", | |
| "wer_pct": 4.76 | |
| }, | |
| { | |
| "language_code": "fr", | |
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| "metric": "WER", | |
| "n": 676, | |
| "test_set": "FLEURS fr_fr", | |
| "wer_pct": 9.44 | |
| }, | |
| { | |
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| "n": 865, | |
| "test_set": "FLEURS it_it", | |
| "wer_pct": 5.45 | |
| }, | |
| { | |
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| "test_set": "FLEURS pt_br", | |
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| }, | |
| { | |
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| "metric": "WER", | |
| "n": 862, | |
| "test_set": "FLEURS de_de", | |
| "wer_pct": 9.78 | |
| } | |
| ] | |
| }, | |
| { | |
| "path": "latin/2240ms", | |
| "model": "latin", | |
| "languages_served": [ | |
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| { | |
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| { | |
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| }, | |
| { | |
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| "model": "latin", | |
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| }, | |
| { | |
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| } |