tonythethompson/Whisper-Medium-GenAI-ONNX

whisper-medium-genai

Overview

openai/whisper-medium exported to ONNX Runtime GenAI format with separate encoder and decoder ONNX files plus external data files.

Source

Field	Value
Upstream model	openai/whisper-medium
Upstream source revision	abdf7c39ab9d0397620ccaea8974cc764cd0953e
Packaging source revision	658e5ba3cfe32f464f6a0d7fda3f86739e3c33a7
Export tool/script	ONNX Runtime GenAI model builder (onnxruntime-genai)
Quantization recipe	FP32 weights in GenAI encoder/decoder ONNX layout

Precision and Packaging

Export tooling, precision, and quantization are recorded in the Source table above. This packaging mirror does not publish independent parity benchmarks; validate on your target execution provider before production use.

Model Details

• Source model: openai/whisper-medium
• Parameters: 769M
• Format: ONNX Runtime GenAI encoder/decoder split
• Runtime target: ONNX Runtime GenAI

Files

File	Description
encoder.onnx + encoder.onnx.data	Encoder model
decoder.onnx + decoder.onnx.data	Decoder model
genai_config.json	ONNX Runtime GenAI session configuration
audio_processor_config.json	Audio feature extraction configuration
tokenizer.json + tokenizer_config.json	Tokenizer files

Intended Use

Run the converted Whisper medium automatic speech recognition model with ONNX Runtime GenAI.

Training Data

This repository does not document training data. See the upstream source model for training data information.

Evaluation

Limitations

• Performance and accuracy may differ from the upstream model depending on runtime, execution provider, and decoding configuration.
• Training data and evaluation details are inherited from the upstream model documentation, not reproduced here.

License

Apache-2.0, matching the upstream openai/whisper-medium model.