voicescribe-whisper-nvidia / UPSTREAM_SOURCE.md
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Voice Scribe mirror whisper_nvidia from onnx-community/whisper-large-v3-turbo@360ebcde2559
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Voice Scribe Model Mirror

This repository is a Voice Scribe distribution mirror. The model artifacts are copied from the upstream repository and the source revision below is pinned.

Field Value
Layout key whisper_nvidia
Target directory in installer whisper-large-v3-turbo-onnx
Upstream repo onnx-community/whisper-large-v3-turbo
Upstream revision 360ebcde2559d60bb474678be3c1de9ef347d01a
Upstream resolved SHA 360ebcde2559d60bb474678be3c1de9ef347d01a
Mirror created 2026-04-23T22:35:10Z
Description Whisper large-v3-turbo ONNX NVIDIA layout.
License metadata {"license": null, "license_files": [], "license_tags": []}

Installer Contract

This mirror corresponds to parakeet/installer/wrapper/model_catalog.py. Required files for installer validation:

[
  "config.json",
  "generation_config.json",
  "preprocessor_config.json",
  "tokenizer.json",
  "tokenizer_config.json",
  "special_tokens_map.json",
  "added_tokens.json",
  "merges.txt",
  "normalizer.json",
  "onnx/encoder_model.onnx",
  "onnx/encoder_model.onnx_data",
  "onnx/decoder_model.onnx",
  "onnx/decoder_with_past_model.onnx",
  "onnx/encoder_model_fp16.onnx",
  "onnx/decoder_model_fp16.onnx",
  "onnx/decoder_with_past_model_fp16.onnx"
]

Allowed installer subset patterns:

[
  "config.json",
  "generation_config.json",
  "preprocessor_config.json",
  "tokenizer.json",
  "tokenizer_config.json",
  "special_tokens_map.json",
  "added_tokens.json",
  "merges.txt",
  "normalizer.json",
  "onnx/encoder_model.onnx",
  "onnx/encoder_model.onnx_data",
  "onnx/decoder_model.onnx",
  "onnx/decoder_with_past_model.onnx",
  "onnx/encoder_model_fp16.onnx",
  "onnx/decoder_model_fp16.onnx",
  "onnx/decoder_with_past_model_fp16.onnx"
]

Redistribution Note

Do not make this repository public unless the upstream license and model card allow redistribution for the intended use. Private mirrors are for operational distribution convenience and reproducible installs.