whisper-large-v3-turbo vs speaker-diarization-community-1

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

openai · A
Params
810 M
Context
30d
8.7 M
mit · commercial OK
pyannote · B
Params
Context
30d
5.3 M
cc-by-4.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification whisper-large-v3-turbo speaker-diarization-community-1
Parameters 810 M
Architecture WhisperForConditionalGeneration
Context length
Licence mit cc-by-4.0
Commercial use Allowed Allowed
Languages 99
Downloads 30d 8,715,451 5,259,760
Downloads all time 106.8 M 21.3 M
Quantizations on the Hub SAFETENSORS
Gated No Yes — accept licence
First seen on the Hub 2024-10-01 2025-04-15

Download trend

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

8.7 M4.9 M
whisper-large-v3-turbo speaker-diarization-community-1

VRAM side by side

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

whisper-large-v3-turbo · fp16 2.4 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons