1,054 models · refreshed nightly
Automatic speech recognition models
Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 01 | wav2vec2-large-xlsr-53-japanese | — | — | ✓ apache-2.0 | 17.9 M | — |
| 02 | whisperkit-coreml | — | — | ✓ mit | 11.2 M | — |
| 03 | speaker-diarization-3.1 | — | — | ✓ mit | 8.2 M | — |
| 04 | whisper-large-v3-turbo | 810 M | — | ✓ mit | 6.8 M | from 2.4 GB |
| 05 | wav2vec2-large-xlsr-53-portuguese | — | — | ✓ apache-2.0 | 6.0 M | — |
| 06 | speaker-diarization-community-1 | — | — | ✓ cc-by-4.0 | 5.3 M | — |
| 07 | whisper-large-v3 | 1.5 B | — | ✓ apache-2.0 | 4.7 M | from 10.9 GB |
| 08 | wav2vec2-large-xlsr-53-russian | — | — | ✓ apache-2.0 | 4.2 M | — |
| 09 | wav2vec2-large-xlsr-53-polish | — | — | ✓ apache-2.0 | 3.7 M | — |
| 10 | wav2vec2-large-xlsr-53-dutch | — | — | ✓ apache-2.0 | 3.1 M | — |
| 11 | wav2vec2-indonesian-javanese-sundanese | — | — | ✓ apache-2.0 | 3.1 M | — |
| 12 | whisper-small | 240 M | — | ✓ apache-2.0 | 2.9 M | from 1.6 GB |
| 13 | wav2vec2-large-xlsr-53-greek | — | — | ✓ apache-2.0 | 2.9 M | — |
| 14 | faster-whisper-small | — | — | ✓ mit | 2.9 M | — |
| 15 | mms-300m-1130-forced-aligner | 320 M | — | ✗ cc-by-nc-4.0 | 2.7 M | from 1.9 GB |
| 16 | faster-whisper-tiny | — | — | ✓ mit | 2.5 M | — |
| 17 | wav2vec2-large-xlsr-53-hungarian | — | — | ✓ apache-2.0 | 2.5 M | — |
| 18 | wav2vec2-large-xlsr-53-arabic | — | — | ✓ apache-2.0 | 2.4 M | — |
| 19 | Qwen3-ASR-1.7B | 2.4 B | — | ✓ apache-2.0 | 2.3 M | from 6.0 GB |
| 20 | romanian-wav2vec2 | 320 M | — | ✓ apache-2.0 | 1.9 M | from 1.9 GB |
| 21 | wav2vec2-large-voxrex-swedish | 320 M | — | ✓ cc0-1.0 | 1.9 M | from 1.9 GB |
| 22 | Voxtral-Mini-4B-Realtime-2602 | 4.4 B | — | ✓ apache-2.0 | 1.9 M | from 20.7 GB |
| 23 | wav2vec2-large-xlsr-53-telugu | — | — | ✓ apache-2.0 | 1.9 M | — |
| 24 | nemotron-3.5-asr-streaming-0.6b-gguf | — | — | other | 1.8 M | from 1.0 GB |
| 25 | parakeet-tdt-0.6b-v3 | 630 M | — | ✓ cc-by-4.0 | 1.8 M | from 3.4 GB |
| 26 | filipino-wav2vec2-l-xls-r-300m-official | 300 M | — | ✓ apache-2.0 | 1.8 M | from 1.2 GB |
| 27 | wav2vec2-large-xlsr-53-persian | — | — | ✓ apache-2.0 | 1.8 M | — |
| 28 | wav2vec2-large-xls-r-300m-Urdu | 320 M | — | ✓ apache-2.0 | 1.7 M | from 1.9 GB |
| 29 | faster-whisper-base | — | — | ✓ mit | 1.7 M | — |
| 30 | whisper-tiny | 40 M | — | ✓ apache-2.0 | 1.7 M | from 0.7 GB |
| 31 | whisper-base | 70 M | — | ✓ apache-2.0 | 1.6 M | from 0.8 GB |
| 32 | parakeet-unified-en-0.6b-gguf | — | — | ✓ cc-by-4.0 | 1.6 M | from 1.0 GB |
| 33 | wav2vec2-large-xlsr-53-th | — | — | cc-by-sa-4.0 | 1.5 M | — |
| 34 | wav2vec2-base-960h | 90 M | — | ✓ apache-2.0 | 1.5 M | from 0.9 GB |
| 35 | vakyansh-wav2vec2-tamil-tam-250 | — | — | ✓ mit | 1.4 M | — |
| 36 | wav2vec2-large-xlsr-53-chinese-zh-cn | — | — | ✓ apache-2.0 | 1.4 M | — |
| 37 | wav2vec2-xls-r-300m-mixed | 300 M | — | unknown | 1.4 M | from 1.2 GB |
| 38 | voice-activity-detection | — | — | ✓ mit | 1.4 M | — |
| 39 | Wav2Vec2-large-xlsr-hindi | 320 M | — | unknown | 1.4 M | from 1.9 GB |
| 40 | wav2vec2-base-vi-vlsp2020 | — | — | ✗ cc-by-nc-4.0 | 1.3 M | — |
| 41 | wav2vec2-large-xlsr-53-finnish | — | — | ✓ apache-2.0 | 1.3 M | — |
| 42 | wav2vec2-xls-r-300m-cs-250 | 320 M | — | ✓ apache-2.0 | 1.3 M | from 1.9 GB |
| 43 | wav2vec2-xls-r-300m-hebrew | 320 M | — | unknown | 1.3 M | from 1.9 GB |
| 44 | nb-wav2vec2-1b-nynorsk | 960 M | — | ✓ apache-2.0 | 1.2 M | from 4.9 GB |
| 45 | whisper-tiny | 40 M | — | ✓ apache-2.0 | 1.2 M | from 0.6 GB |
| 46 | wav2vec2-xls-r-300m-bengali | 300 M | — | ✓ apache-2.0 | 1.1 M | from 1.2 GB |
| 47 | wav2vec2-xls-r-parlaspeech-hr | 320 M | — | unknown | 1.1 M | from 1.9 GB |
| 48 | parakeet-tdt-0.6b-v2 | 620 M | — | ✓ cc-by-4.0 | 1.1 M | from 3.3 GB |
| 49 | nb-wav2vec2-1b-bokmaal-v2 | 960 M | — | ✓ apache-2.0 | 1.0 M | from 4.9 GB |
| 50 | w2v-xls-r-uk | 320 M | — | ✓ apache-2.0 | 1.0 M | from 1.9 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.