Reza2kn / visualears-fastconformer-fa-full-ab-litert-fp

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Total runs: 18
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30-day runs: 5
Model's Last Updated: June 11 2026
automatic-speech-recognition

Introduction of visualears-fastconformer-fa-full-ab-litert-fp

Model Details of visualears-fastconformer-fa-full-ab-litert-fp

VisualEars FastConformer Persian ASR LiteRT FP

Reference LiteRT/TFLite fixed-length acoustic CTC-core export of Reza2kn/visualears-fastconformer-fa-full-ab .

Artifact
  • Format: LiteRT/TFLite FP fixed-length acoustic CTC-core export
  • Quantization/conversion: FP LiteRT/TFLite conversion reference; no 4-bit quantization
  • Runtime validation: LiteRT/TFLite XNNPACK CPU
  • Size: 437 MB .tflite
Validation

Two different parity checks are available:

Check Result
Frame-level CTC argmax parity vs PyTorch 100.00%
Greedy CTC transcript parity vs PyTorch on the same 16 calibration items 100.00% / 16 of 16

Transcript parity is computed after greedy CTC collapse with the model tokenizer. This is still a fixed-core feature-to-logits check, not a full raw-audio pipeline evaluation.

Usage Boundary

This export takes precomputed log-mel features as processed_signal ; it is not a full raw-audio-to-text pipeline by itself.

Notes

The LiteRT export required folding fixed positional slice constants and removing all-valid pre-encoder mask multiplies.

Runs of Reza2kn visualears-fastconformer-fa-full-ab-litert-fp on huggingface.co

18
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3-day runs
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