AbijahKaj / parakeet-rnnt-120m-web

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Model's Last Updated: April 29 2026
automatic-speech-recognition

Introduction of parakeet-rnnt-120m-web

Model Details of parakeet-rnnt-120m-web

Parakeet RNNT 120M — Web/SafeTensors Export

Browser-optimized SafeTensors export of nvidia/parakeet_realtime_eou_120m-v1 .

Model Details
Property Value
Base model nvidia/parakeet_realtime_eou_120m-v1
Architecture FastConformer-RNNT (17 layers, d_model=512)
Parameters ~120M
Decoder RNN-Transducer (RNNT) — streaming-optimized
Language English
Weights format SafeTensors, float16 (~220 MB)
Vocab size 1027 tokens (SentencePiece BPE)
Mel bands 128
Context Limited attention context [70, 1] — streaming-friendly
Files
  • model.safetensors — all weights in float16
  • model_config.json — architecture hyperparameters
  • vocab.json — token ID → text mapping
Usage with audio-ml
const base = 'https://huggingface.co/AbijahKaj/parakeet-rnnt-120m-web/resolve/main';
const config = await fetch(`${base}/model_config.json`).then(r => r.text());
const vocab = await fetch(`${base}/vocab.json`).then(r => r.text());
const weights = await fetch(`${base}/model.safetensors`).then(r => r.arrayBuffer());
await recognizer.loadFromBuffers(weights, config, vocab);
Export Process

Converted from the original NeMo checkpoint using:

python tools/export_nemo_to_safetensors.py \
    --model nvidia/parakeet_realtime_eou_120m-v1 \
    --output-dir exported/parakeet-rnnt-120m
Attribution

This is a format conversion (NeMo → SafeTensors fp16) of NVIDIA's original model. No fine-tuning or weight modification was performed. All credit for the model architecture and training goes to NVIDIA. See the original model card for full details, benchmarks, and license terms.

License : CC-BY-4.0 (inherited from the original model)

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