selcukkubur/Phonon-2.5-mlx

automatic-speech-recognition model by selcukkubur

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A format conversion of FermionResearch/Phonon-2.5, which is itself a five-value quantization-aware compression of nvidia/parakeet-tdt-0.6b-v3. This is the 25-language model; the English-only model is a separate conversion of FermionResearch/Phonon-2.5-English. No weights were retrained here. The five-value bits are carried through verbatim; tensors were renamed into the NeMo/MLX layout so an MLX Parakeet implementation can read them. See ATTRIBUTION.md for the exact list of changes. inherited from FermionResearch/Phonon-2.5. LICENSE-CODE-Apache-2.0.txt. the original repository's NOTICE, copied unchanged. Attribution is required by CC-BY-4.0 and is owed to both FermionResearch (for Phonon-2.5) and NVIDIA (for the parakeet-tdt-0.6b-v3 checkpoint it was trained from). One model.safetensors holding 264 five-value packed blocks and 9…

selcukkubur/Phonon-2.5-mlx on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Phonon-2.5 (MLX layout)
  2. Licensing
  3. What this file is
  4. Accuracy

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Model overview

selcukkubur/Phonon-2.5-mlx is a automatic-speech-recognition model repository published by selcukkubur on Hugging Face. The source reports the mlx library.

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Model facts

Task
automatic-speech-recognition
Library
mlx
Recent downloads (30 days)
0
Cumulative likes
1
Hugging Face trending score
1
Reported safetensors parameters
181,383,317
Architecture
Not reported
License
cc-by-4.0
Access
Not gated by Hugging Face
Created
2026-10-25T06:40:24.000Z
Last modified
2026-10-25T06:40:43.000Z

Compatibility and lineage

Reported languages: en, es, fr, de, it, pt, nl, pl, ru, uk, ro, cs, sk, bg, hr, sv, da, fi, et, lv, lt, hu, sl, mt, el

Reported base models: FermionResearch/Phonon-2.5, nvidia/parakeet-tdt-0.6b-v3

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source: Hugging Face Hub. Metadata observed 2026-10-25T06:46:38.979Z. Daily imports are snapshots, not real-time monitoring.

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