HF Model & Benchmark Matrix

24,078 variants · 14,984 scores · 120 benchmarks

Voxtral-Mini-4B-Realtime-2602-ONNX

onnx-community/Voxtral-Mini-4B-Realtime-2602-ONNX

kind
original
quant
bf16 (16-bit)
family
misc
modality
automatic-speech-recognition
root model
mistralai/Voxtral-Mini-4B-Realtime-2602
provider
onnx-community
license
apache-2.0
language
en, fr, es, de, ru, zh, ja, it, pt, nl, ar, hi
context
—
library
—
vRAM (GB)
—
size on disk
—
downloads
1,974
likes
26
created
—
last modified
2026-03-11T16:46:52+00:00 (2026)
huggingface
https://huggingface.co/onnx-community/Voxtral-Mini-4B-Realtime-2602-ONNX
tags
onnxvoxtral_realtimeautomatic-speech-recognitionenfresderuzhjaitptnlarhikoarxiv:2602.11298base_model:mistralai/Voxtral-Mini-4B-Realtime-2602base_model:quantized:mistralai/Voxtral-Mini-4B-Realtime-2602license:apache-2.0region:us

Benchmark scores (4)

benchmarkcategoryscorecontextconfevidence
WER AMIspeech-asr14.43GigaSpeech 2k Subset | GISpeech 2k Subsetlow| Voxtral Mini Transcribe 2.0 | Offline | 10.39% | 6.81% | 14.43% | 11.54% | 10.42% | 1.74% |
WER Switchboardspeech-asr11.54GigaSpeech 2k Subset | GISpeech 2k Subsetlow| Voxtral Mini Transcribe 2.0 | Offline | 10.39% | 6.81% | 14.43% | 11.54% | 10.42% | 1.74% |
WER GigaSpeechspeech-asr6.81GigaSpeech 2k Subset | GISpeech 2k Subsetlow| Voxtral Mini Transcribe 2.0 | Offline | 10.39% | 6.81% | 14.43% | 11.54% | 10.42% | 1.74% |
WER TED-LIUMspeech-asr2.86low| Voxtral Mini Transcribe 2.0 | Offline | 4.08% | 9.81% | 11.69% | 2.86% |

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Hugging Face model & benchmark data scraped & matrix-ified. 24,078 variants · 14,984 scores · 120 benchmarks.