whisper-base vs wav2vec2-xls-r-parlaspeech-hr

Specs, VRAM requirements and download trends — updated 28 July 2026.

openai · A
Params
70 M
Context
30d
4.8 M
apache-2.0 · commercial OK
classla · B
Params
320 M
Context
30d
564 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification whisper-base wav2vec2-xls-r-parlaspeech-hr
Parameters 70 M 320 M
Architecture WhisperForConditionalGeneration Wav2Vec2ForCTC
Context length
Licence apache-2.0
Commercial use Allowed Unknown
Languages 99 1
Downloads 30d 4,759,784 563,761
Downloads all time 46.7 M 4.5 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2022-09-26 2022-03-02

Download trend

Daily snapshots, last 10 days (28 Jul – 6 Aug)

6.4 M478 K
whisper-base wav2vec2-xls-r-parlaspeech-hr

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

whisper-base · fp16 0.8 GB / 24 GB
✅ Runs comfortably
wav2vec2-xls-r-parlaspeech-hr · fp16 1.9 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons