whisper-large-v3-turbo vs Wav2Vec2-large-xlsr-hindi

Specs, VRAM requirements and download trends — updated 6 August 2026.

openai · A

Params

810 M

Context

—

30d

8.7 M

mit · commercial OK

theainerd · B

Params

320 M

Context

—

30d

1.1 M

Specification comparison

Differences are highlighted; identical values are muted.

Specification	whisper-large-v3-turbo	Wav2Vec2-large-xlsr-hindi
Parameters	810 M	320 M
Architecture	WhisperForConditionalGeneration	Wav2Vec2ForCTC
Context length	—	—
Licence	mit	—
Commercial use	Allowed	Unknown
Languages	99	1
Downloads 30d	8,715,451	1,106,985
Downloads all time	106.8 M	30.2 M
Quantizations on the Hub	SAFETENSORS	SAFETENSORS
Gated	No	No
First seen on the Hub	2024-10-01	2022-03-02

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

8.7 M922 K

whisper-large-v3-turbo Wav2Vec2-large-xlsr-hindi

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

Wav2Vec2-large-xlsr-hindi · fp16 1.9 GB / 24 GB

✅ Runs comfortably

whisper-large-v3-turbo · fp16 2.4 GB / 24 GB

✅ Runs comfortably