HF Model & Benchmark Matrix

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

Voxtral-Mini-4B-Realtime-2602-gguf

handy-computer/Voxtral-Mini-4B-Realtime-2602-gguf

kind
gguf
quant
gguf (16-bit)
family
misc
modality
automatic-speech-recognition
root model
mistralai/Voxtral-Mini-4B-Realtime-2602
provider
handy-computer
license
apache-2.0
language
en, fr, es, de, ru, zh, ja, it, pt, nl, ar, hi
context
—
library
transcribe.cpp
vRAM (GB)
—
size on disk
—
downloads
430,759
likes
1
created
—
last modified
2026-06-28T13:16:35+00:00 (2026)
huggingface
https://huggingface.co/handy-computer/Voxtral-Mini-4B-Realtime-2602-gguf
tags
transcribe.cppggufasrspeech-to-textvoxtralaudio-llmstreamingmultilingualautomatic-speech-recognitionenfresderuzhjaitptnlarhikoarxiv:2602.11298base_model:mistralai/Voxtral-Mini-4B-Realtime-2602

Benchmark scores (5)

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% |
WERspeech-asr2.08low| BF16 | [Voxtral-Mini-4B-Realtime-2602-BF16.gguf](https://huggingface.co/handy-computer/Voxtral-Mini-4B-Realtime-2602-gguf/resolve/main/Voxtral-Mini-4B-Realtime-2602-BF16.gguf) |

Discussions (0)

none scraped.

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