Automatic Speech Recognition
MLX
English
parakeet_tdt_five_value
apple-silicon
speech-to-text
asr
stt
on-device
Eval Results
Instructions to use FermionResearch/Phonon-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use FermionResearch/Phonon-2 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download FermionResearch/Phonon-2 --local-dir Phonon-2
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Phonon-2: eval results at the card's numbers; reference script comments
Browse files- .eval_results/open_asr_leaderboard.yaml +29 -40
- SHA256SUMS.txt +1 -1
- reference_transformers.py +3 -3
.eval_results/open_asr_leaderboard.yaml
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@@ -1,90 +1,79 @@
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id: mean_wer
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value: 5.
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date: '2026-09-
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source:
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url: https://huggingface.co/FermionResearch/Phonon-2
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name: FermionResearch (own run of the leaderboard's
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user: FermionResearch
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id:
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value:
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date: '2026-09-
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source:
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url: https://huggingface.co/FermionResearch/Phonon-2
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name: FermionResearch (own run of the leaderboard's
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user: FermionResearch
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id:
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value:
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date: '2026-09-
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source:
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url: https://huggingface.co/FermionResearch/Phonon-2
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name: FermionResearch (own run of the leaderboard's
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user: FermionResearch
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id:
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value:
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date: '2026-09-
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source:
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url: https://huggingface.co/FermionResearch/Phonon-2
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name: FermionResearch (own run of the leaderboard's
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user: FermionResearch
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id:
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value:
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date: '2026-09-
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source:
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url: https://huggingface.co/FermionResearch/Phonon-2
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name: FermionResearch (own run of the leaderboard's
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user: FermionResearch
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id:
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value:
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date: '2026-09-
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source:
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url: https://huggingface.co/FermionResearch/Phonon-2
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name: FermionResearch (own run of the leaderboard's
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user: FermionResearch
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id: spgispeech_wer
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value: 3.
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date: '2026-09-
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source:
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url: https://huggingface.co/FermionResearch/Phonon-2
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name: FermionResearch (own run of the leaderboard's
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user: FermionResearch
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id: voxpopuli_wer
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value: 2.
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date: '2026-09-
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source:
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url: https://huggingface.co/FermionResearch/Phonon-2
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name: FermionResearch (own run of the leaderboard's
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user: FermionResearch
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id: rtfx
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value: 3500.59
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date: '2026-09-26'
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source:
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url: https://huggingface.co/FermionResearch/Phonon-2
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name: FermionResearch (own run of the leaderboard's nemo_asr runner at 7ce09ca6, one A100-80; pending the maintainers' run)
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user: FermionResearch
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id: mean_wer
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value: 5.21
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date: '2026-09-29'
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source:
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url: https://huggingface.co/FermionResearch/Phonon-2
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name: FermionResearch (own run of the leaderboard's scoring code on the full test sets, 2026-09-29; the leaderboard's own runner row is in open_asr_leaderboard PR #232)
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user: FermionResearch
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id: librispeech_clean_wer
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value: 1.72
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date: '2026-09-29'
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source:
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url: https://huggingface.co/FermionResearch/Phonon-2
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name: FermionResearch (own run of the leaderboard's scoring code on the full test sets, 2026-09-29; the leaderboard's own runner row is in open_asr_leaderboard PR #232)
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user: FermionResearch
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id: librispeech_other_wer
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value: 3.92
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date: '2026-09-29'
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source:
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url: https://huggingface.co/FermionResearch/Phonon-2
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name: FermionResearch (own run of the leaderboard's scoring code on the full test sets, 2026-09-29; the leaderboard's own runner row is in open_asr_leaderboard PR #232)
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user: FermionResearch
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id: ami_wer
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value: 9.37
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date: '2026-09-29'
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source:
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url: https://huggingface.co/FermionResearch/Phonon-2
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name: FermionResearch (own run of the leaderboard's scoring code on the full test sets, 2026-09-29; the leaderboard's own runner row is in open_asr_leaderboard PR #232)
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user: FermionResearch
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id: earnings22_wer
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value: 6.96
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date: '2026-09-29'
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source:
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url: https://huggingface.co/FermionResearch/Phonon-2
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+
name: FermionResearch (own run of the leaderboard's scoring code on the full test sets, 2026-09-29; the leaderboard's own runner row is in open_asr_leaderboard PR #232)
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user: FermionResearch
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id: gigaspeech_wer
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value: 8.35
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date: '2026-09-29'
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source:
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url: https://huggingface.co/FermionResearch/Phonon-2
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name: FermionResearch (own run of the leaderboard's scoring code on the full test sets, 2026-09-29; the leaderboard's own runner row is in open_asr_leaderboard PR #232)
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user: FermionResearch
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id: spgispeech_wer
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value: 3.70
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date: '2026-09-29'
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source:
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url: https://huggingface.co/FermionResearch/Phonon-2
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+
name: FermionResearch (own run of the leaderboard's scoring code on the full test sets, 2026-09-29; the leaderboard's own runner row is in open_asr_leaderboard PR #232)
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user: FermionResearch
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- dataset:
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id: hf-audio/open-asr-leaderboard
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task_id: voxpopuli_wer
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value: 2.46
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date: '2026-09-29'
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source:
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url: https://huggingface.co/FermionResearch/Phonon-2
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+
name: FermionResearch (own run of the leaderboard's scoring code on the full test sets, 2026-09-29; the leaderboard's own runner row is in open_asr_leaderboard PR #232)
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user: FermionResearch
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SHA256SUMS.txt
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422379e411f14dde97174554deead106ec1e4816e14dd78a1bf99517c6dcc663 config.json
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690c6bc43bcbcae8df61cff0b2cace7299d023718b6f2aa9d67157407eadaa07 packed_manifest.json
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00624a5043e7ce74029317b024132ca5286116d6fbf3191d226374bc8273789f NOTICE
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-
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5cf172e8cf6b313e951c4ef588ca913c7285b0aa3b92de413c3d7ec2b939c0e4 fermion_container.py
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0dad36aa73a9b80fd5165dc33bd226f874a4ff727b06c7bd04a289c69da58452 README.md
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9ba9550ad48438d0836ddab3da480b3b69ffa0aac7b7878b5a0039e7ab429411 LICENSE-WEIGHTS-CC-BY-4.0.txt
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422379e411f14dde97174554deead106ec1e4816e14dd78a1bf99517c6dcc663 config.json
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690c6bc43bcbcae8df61cff0b2cace7299d023718b6f2aa9d67157407eadaa07 packed_manifest.json
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00624a5043e7ce74029317b024132ca5286116d6fbf3191d226374bc8273789f NOTICE
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+
cdb9019dddef44da211641022564830733b18841bdce7aa66370ff6d47526a8d reference_transformers.py
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5cf172e8cf6b313e951c4ef588ca913c7285b0aa3b92de413c3d7ec2b939c0e4 fermion_container.py
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0dad36aa73a9b80fd5165dc33bd226f874a4ff727b06c7bd04a289c69da58452 README.md
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9ba9550ad48438d0836ddab3da480b3b69ffa0aac7b7878b5a0039e7ab429411 LICENSE-WEIGHTS-CC-BY-4.0.txt
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reference_transformers.py
CHANGED
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"""Dense `transformers` reference for the Phonon-2 container
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read container -> expand every record to fp32 (five-value: exact {0,+-lo,+-hi}; intN: q*scale;
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fp16: as stored) -> stock ParakeetForTDT(config).load_state_dict(strict=True) -> greedy TDT
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generate through ParakeetProcessor,
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Usage: python reference_transformers.py model.fermion --audio recording.wav
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python reference_transformers.py model.fermion --utts rows.json --out receipt.json
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Outputs per utterance: transcript (+ token ids) and, for --dump-encoder N utts, the encoder
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output in fp32 so the MLX graph can be compared against the torch graph. Pure reference:
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no speed claim is made or measured here.
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"""Dense `transformers` reference for the Phonon-2 container.
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read container -> expand every record to fp32 (five-value: exact {0,+-lo,+-hi}; intN: q*scale;
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fp16: as stored) -> stock ParakeetForTDT(config).load_state_dict(strict=True) -> greedy TDT
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generate through ParakeetProcessor, the same call the leaderboard scoring uses.
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Usage: python reference_transformers.py model.fermion --audio recording.wav
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python reference_transformers.py model.fermion --utts rows.json --out receipt.json
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Outputs per utterance: transcript (+ token ids) and, for --dump-encoder N utts, the encoder
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output in fp32 so the MLX graph can be compared against the torch graph. Pure reference:
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no speed claim is made or measured here.
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