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.

tonythethompson/Whisper-Medium-GenAI-ONNX

whisper-medium-genai

Overview

Source