speaker-diarization-community-1 vs Qwen3-ASR-1.7B-gguf
Specs, VRAM requirements and download trends — updated 10 November 2026.
pyannote · A · Open weights
Params
—
Context
—
30d
5.1 M
cc-by-4.0 · commercial OK
handy-computer · B · Open weights
Params
1.7 B
Context
—
30d
1.2 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | speaker-diarization-community-1 | Qwen3-ASR-1.7B-gguf |
|---|---|---|
| Parameters | — | 1.7 B |
| Architecture | — | — |
| Context length | — | — |
| Licence | cc-by-4.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | 30 |
| Downloads 30d | 5,126,790 | 1,242,139 |
| Downloads all time | 38.7 M | 1.9 M |
| Quantizations on the Hub | — | GGUF |
| Gated | Yes — accept licence | No |
| First seen on the Hub | 2025-04-15 | 2026-04-20 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
5.6 M574 K
speaker-diarization-community-1
Qwen3-ASR-1.7B-gguf
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-ASR-1.7B-gguf · Q4_K_M
2.2 GB / 24 GB
Adjacent comparisons
whisperkit-coreml vs speaker-diarization-community-1
speaker-diarization-community-1 vs wav2vec2-large-xlsr-53-japanese
whisperkit-coreml vs Qwen3-ASR-1.7B-gguf
speaker-diarization-3.1 vs speaker-diarization-community-1
speaker-diarization-community-1 vs faster-whisper-small
whisper-large-v3-turbo vs speaker-diarization-community-1