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visualears-fastconformer-fa-full-ab-coreml-w4-quality
Reza2kn/visualears-fastconformer-fa-full-ab-coreml-w4-quality
visualears-fastconformer-fa-full-ab-coreml-w4-quality is a automatic speech recognition model from Reza2kn. Use it when you need speech turned into text. It is set up for coreml. The card lists the license as apache-2.0.
Derivative export of Reza2kn/visualears-fastconformer-fa-full-ab.
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At a glance
- Task
- Automatic Speech Recognition
- Library
- coreml
- License
- apache-2.0
- Access
- Public
- Created
- Jun 11, 2026
- Updated
- Jun 11, 2026
- SHA
- 15e89d1c
Base models
Model card
From the Hugging Face model README
VisualEars FastConformer Persian ASR CoreML W4 Quality Variant
Derivative export of Reza2kn/visualears-fastconformer-fa-full-ab.
Artifact
- Format: CoreML selective 4-bit k-means quality-first export
- Quantization/conversion: CoreML palettize_weights, k-means, nbits=4, weight_threshold=1100000
- Runtime validation: CoreML CPU
- Validation result: 99.65% CTC argmax parity
- Size: 217 MB, 99.1% of CoreML FP16 source
Validation
Runtime parity was checked against PyTorch CTC logits on 16 calibration clips padded to 2005 mel frames. The metric is CTC argmax token agreement versus the PyTorch reference logits, not end-to-end WER.
Usage Boundary
These are fixed-frame acoustic CTC-core exports. They take precomputed log-mel features as processed_signal; they are not full raw-audio-to-text pipelines by themselves.
Notes
Quality-first CoreML W4 variant. It passes with a wider margin but barely compresses.
- Task
- Automatic Speech Recognition
- Library
- coreml
- License
- apache-2.0
- Languages
- fa
- Created
- Jun 11, 2026
- Updated
- Jun 11, 2026