speaker-diarization-3.1 vs whisper-bemba-stt

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

pyannote · A
Params
Context
30d
8.9 M
mit · commercial OK
AbelZimba · B
Params
240 M
Context
30d
546 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification speaker-diarization-3.1 whisper-bemba-stt
Parameters 240 M
Architecture WhisperForConditionalGeneration
Context length
Licence mit
Commercial use Allowed Unknown
Languages
Downloads 30d 8,909,178 546,341
Downloads all time 333.7 M 1.9 M
Quantizations on the Hub SAFETENSORS
Gated Yes — accept licence No
First seen on the Hub 2023-11-16 2026-01-13

Download trend

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

8.9 M534 K
speaker-diarization-3.1 whisper-bemba-stt

VRAM side by side

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

whisper-bemba-stt · fp16 1.6 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons