wav2vec2-large-xlsr-53-japanese vs Voxtral-Mini-4B-Realtime-2602-gguf
Specs, VRAM requirements and download trends — updated 11 November 2026.
jonatasgrosman · A · Open weights
Params
—
Context
—
30d
16.3 M
apache-2.0 · commercial OK
handy-computer · B · Open weights
Params
4.0 B
Context
—
30d
489 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | wav2vec2-large-xlsr-53-japanese | Voxtral-Mini-4B-Realtime-2602-gguf |
|---|---|---|
| Parameters | — | 4.0 B |
| Architecture | Wav2Vec2ForCTC | — |
| Context length | — | — |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 13 |
| Downloads 30d | 16,256,691 | 488,856 |
| Downloads all time | 127.8 M | 2.0 M |
| Quantizations on the Hub | — | GGUF |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2026-06-05 |
Download trend
Daily snapshots, last 90 days (14 Aug – 11 Nov)
17.9 M397 K
wav2vec2-large-xlsr-53-japanese
Voxtral-Mini-4B-Realtime-2602-gguf
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Voxtral-Mini-4B-Realtime-2602-gguf · Q4_K_M
4.2 GB / 24 GB
Adjacent comparisons
whisperkit-coreml vs wav2vec2-large-xlsr-53-japanese
speaker-diarization-3.1 vs wav2vec2-large-xlsr-53-japanese
faster-whisper-small vs wav2vec2-large-xlsr-53-japanese
speaker-diarization-community-1 vs wav2vec2-large-xlsr-53-japanese
whisper-large-v3-turbo vs wav2vec2-large-xlsr-53-japanese
whisper-base vs wav2vec2-large-xlsr-53-japanese