wav2vec2-large-xlsr-53-japanese vs parakeet-ultra-gguf
Specs, VRAM requirements and download trends — updated 10 November 2026.
jonatasgrosman · A · Open weights
Params
—
Context
—
30d
16.2 M
apache-2.0 · commercial OK
handy-computer · B · Open weights
Params
—
Context
—
30d
1,000 K
cc-by-4.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | wav2vec2-large-xlsr-53-japanese | parakeet-ultra-gguf |
|---|---|---|
| Parameters | — | — |
| Architecture | Wav2Vec2ForCTC | — |
| Context length | — | — |
| Licence | apache-2.0 | cc-by-4.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 25 |
| Downloads 30d | 16,184,839 | 999,547 |
| Downloads all time | 127.3 M | 1.0 M |
| Quantizations on the Hub | — | GGUF |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2026-10-05 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
17.9 M511 K
wav2vec2-large-xlsr-53-japanese
parakeet-ultra-gguf
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
parakeet-ultra-gguf · Q4_K_M
1.0 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
whisper-large-v3-turbo vs wav2vec2-large-xlsr-53-japanese
speaker-diarization-community-1 vs wav2vec2-large-xlsr-53-japanese
whisper-base vs wav2vec2-large-xlsr-53-japanese