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

Specs, VRAM requirements and download trends — updated 10 November 2026.

openai · A · Open weights
Params
810 M
Context
—
30d
5.2 M
mit · commercial OK
pyannote · B · Open weights
Params
—
Context
—
30d
5.1 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 5,175,000 5,126,790
Downloads all time 127.5 M 38.7 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 90 days (13 Aug – 10 Nov)

8.0 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