whisper-large-v3 vs wav2vec2-large-xlsr-japanese-hiragana

Specs, VRAM requirements and download trends — updated 20 August 2026.

openai · A · Open weights
Params
1.5 B
Context
—
30d
3.5 M
apache-2.0 · commercial OK
vumichien · B · Open weights
Params
320 M
Context
—
30d
472 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification whisper-large-v3 wav2vec2-large-xlsr-japanese-hiragana
Parameters 1.5 B 320 M
Architecture WhisperForConditionalGeneration Wav2Vec2ForCTC
Context length — —
Licence apache-2.0 apache-2.0
Commercial use Allowed Allowed
Languages 99 1
Downloads 30d 3,515,562 472,007
Downloads all time 153.2 M 782 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2023-11-07 2022-03-02

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

5.1 M378 K
whisper-large-v3 wav2vec2-large-xlsr-japanese-hiragana

VRAM side by side

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

wav2vec2-large-xlsr-japanese-hiragana · fp16 1.9 GB / 24 GB
✅ Runs comfortably
whisper-large-v3 · fp16 10.9 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons