Model reference · open weights

whisper-large-finnish

Audio Finnish-NLP Speech→text 1 build Open weights 1k dl/mo

whisper-large-finnish is an open-weight audio or speech model from Finnish-NLP. whisper-large-finnish-v3 (FP16) weighs 3.2 GB; the smallest configuration that runs it is RTX 3060 12 GB.

For self-hosting, compare this build's requirements below with the GPU you plan to rent.

  • whisper-large-finnish is an automatic speech recognition model developed by Finnish-NLP and published as Finnish-NLP/whisper-large-finnish-v3.
  • It features 1.6B parameters and is designed for the Finnish language.
  • The model is released under the apache-2.0 license.

Summary of the Finnish-NLP/whisper-large-finnish-v3 model card, 2026-10-01

What it is

Released byFinnish-NLP
Released2023-11-25
Parameters1.6B
VRAM3.2 GB for the weights

What it runs on

Memory and cards for whisper-large-finnish-v3 (FP16)

3.2 GBweights, file size
1.6 GBruntime overhead
CardOne streamMemory
RTX 3060 12 GBfits11.6 GB
RTX 4060 Ti 16 GBfits15.4 GB
RTX 3090 24 GBfits23.4 GB
RTX 4090 24 GBfits23.4 GB
RTX 5090 32 GBfits31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

From the model card

What Finnish-NLP says about whisper-large-finnish

Read the model card
  • CV11

    • WER: 14.81
    • WER NORMALIZED: 10.82
    • CER: 2.7
    • CER NORMALIZED: 2.07
  • Fleurs

    • WER: 12.04

    • WER NORMALIZED: 9.63

    • CER: 2.48

    • CER NORMALIZED: 3.64

    • @14000 finetuning steps

      • CV11

        • WER: 11.36
        • WER NORMALIZED: 8.31
        • CER: 1.93
        • CER NORMALIZED: 1.48
      • Fleurs

        • WER: 10.2
        • WER NORMALIZED: 8.56
        • CER: 2.26
        • CER NORMALIZED: 3.54
    • @32000 finetuning steps

      • CV11

        • WER: 11.47
        • WER NORMALIZED: 8.23
        • CER: 1.91
        • CER NORMALIZED: 1.43
      • Fleurs

        • WER: 10.1
        • WER NORMALIZED: 8.21
        • CER: 2.2
        • CER NORMALIZED: 3.23

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

Benchmarks

Reported results

As published on the model card: the maker's own numbers, not measured by AxForge.

TaskDatasetMetricScore
Automatic Speech RecognitionCommon Voice 11.0Wer8.230
Automatic Speech RecognitionCommon Voice 11.0Cer1.430
Automatic Speech RecognitionFLEURSWer8.210
Automatic Speech RecognitionFLEURSCer3.230
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