ModelVerificadoExterno

Whisper Large v3 Genai

openai/whisper-large-v3 exported to ONNX Runtime GenAI format with separate encoder and decoder ONNX files plus external data files.

Fuentehuggingface.co/tonythethompson/whisper-large-v3-genai/tree/1026306b19fa7a8f292211b4e2f8f5cca63b9799

TipoOtherModelo baseopenai/whisper-large-v3VersiónRevision 1026306Publicador@tonythethompsonCcalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 249–353 KB
Modelo base: openai/whisper-large-v3
Versión: vRevision 1026306
Actualizado: 6 oct 2026
Publicador: @tonythethompson
Descargas: 0
Fuente: Hugging Face

Descripción de la fuente

whisper-large-v3-genai

Overview

openai/whisper-large-v3 exported to ONNX Runtime GenAI format with separate encoder and decoder ONNX files plus external data files.

Source

Field	Value
Upstream model	openai/whisper-large-v3
Upstream source revision	`06f233fe06e710322aca913c1bc4249a0d71fce1`
Packaging source revision	`e745b66a7380580b604215ee3dd83e28d9f1a2b9`
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-large-v3
Parameters: 1.5B
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 large-v3 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-large-v3 model.

Fuentes

1 fuente

Hugging FacePrincipalVersión 1026306b19fa7a8f292211b4e2f8f5cca63b9799

huggingface.co/tonythethompson/whisper-large-v3-genai/tree/1026306b19fa7a8f292211b4e2f8f5cca63b9799

Verificado 31 ago

Artefactos del modelo

2 artefactos

decoder.onnx

onnx · 353 KB · SHA-256 22e281991494…196b · Hugging Face

Descargar

encoder.onnx

onnx · 249 KB · SHA-256 533891d99b03…2da5 · Hugging Face

Descargar

Extractos de fuentes

3 extractos

Readme11 julhuggingface.co/tonythethompson/whisper-large-v3-genai

--- license: apache-2.0 base_model: openai/whisper-large-v3 pipeline_tag: automatic-speech-recognition library_name: onnxruntime-genai language: - multilingual tags: - onnx - onnxruntime-genai - whisper - automatic-speech-recognition --- # whisper-large-v3-genai ## Overview `openai/whisper-large-v3` exported to ONNX Runtime GenAI format with separate encoder and decoder ONNX files plus external data files. ## Source | Field | Value | |---|---| | Upstream model | [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) | | Upstream source revision | `06f233fe06e710322aca913c1bc4249a0d71fce1` | | Packaging source revision | `e745b66a7380580b604215ee3dd83e28d9f1a2b9` | | 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-large-v3`](https://huggingface.co/openai/whisper-large-v3) - Parameters: 1.5B - 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 large-v3 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-large-v3`](https://huggingface.co/openai/whisper-large-v3) model.

Note11 julhuggingface.co/tonythethompson/whisper-large-v3-genai

Source context: 0 downloads · 0 likes · Pipeline automatic-speech-recognition · Library onnxruntime-genai · Repo tonythethompson/whisper-large-v3-genai

Note19 mayhuggingface.co/api/models/tonythethompson/whisper-large-v3-genai

Source context: 0 downloads · 0 likes · Repo tonythethompson/whisper-large-v3-genai