SAVRN Model Hub · Comparisons
wav2vec2-large-robust-24-ft-age-gender vs wav2vec2-large-xlsr-53-gender-recognition-librispeech
Wav2vec2-large-robust-24-ft-age-gender has 318M parameters and wav2vec2-large-xlsr-53-gender-recognition-librispeech has 316M parameters; wav2vec2-large-robust-24-ft-age-gender is released under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 and wav2vec2-large-xlsr-53-gender-recognition-librispeech under Apache License 2.0; at 16-bit, wav2vec2-large-robust-24-ft-age-gender needs about 0.8 GB (1x MI300X from $1.85 an hour) and wav2vec2-large-xlsr-53-gender-recognition-librispeech about 0.8 GB (1x MI300X from $1.85 an hour).
| Field | wav2vec2-large-robust-24-ft-age-gender audeering/wav2vec2-large-robust-24-ft-age-gender | wav2vec2-large-xlsr-53-gender-recognition-librispeech alefiury/wav2vec2-large-xlsr-53-gender-recognition-librispeech |
|---|---|---|
| Publisher | audEERING GmbH | Alef Iury Siqueira Ferreira |
| Task | Audio classification | Audio classification |
| Modality | Audio | Audio |
| Parameters, as reported | 318M parameters | 316M parameters |
| Architecture | Model | Wav2Vec2ForSequenceClassification |
| Library | transformers | transformers |
| Context length | Not stated | Not stated |
| Repository size | 2.5 GB | 2.5 GB |
| Artifact formats | safetensors, pytorch | safetensors, pytorch |
| License | cc-by-nc-sa-4.0 | apache-2.0 |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 0.8 GB | 0.8 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 0.2 GB | 0.2 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | bad2737f5291 | 7a28165f33e1 |
| Downloads reported by the hub | 2.5M | 780.7k |
| Last observed | 2026-09-18 | 2026-09-18 |
An evaluation row appears only where at least two of these models report the same benchmark with the same stated configuration, metric, unit and setup. Different evaluators stay named in each cell. Values are shown as reported: no unit conversion, no ranking.
SAVRN's Notes on wav2vec2-large-xlsr-53-gender-recognition-librispeech
Tagging speech by the speaker's gender is a narrow job, and Alef Iury Siqueira Ferreira built this model for it: a fine-tune of facebook/wav2vec2-xls-r-300m with 316M parameters, trained for one epoch on Librispeech-clean-100. The download is 2.5 GB because the checkpoint is stored in float32, but at 16-bit the weights are 0.6 GB and the model needs 0.8 GB of memory. The cheapest setup we list is one MI300X with 192 GB at $1.85 per hour on-demand, far more card than the job calls for, so run it beside other audio work.
Apache 2.0 keeps the deployment simple: commercial use, modification and redistribution are permitted, provided the license and copyright notices travel with the files and significant changes are stated. Before committing, check the training data against your own audio: the model saw Librispeech-clean-100 on a 70/10/20 split for a single epoch. The last update was 2024-03-23.
Questions
Which is larger, wav2vec2-large-robust-24-ft-age-gender or wav2vec2-large-xlsr-53-gender-recognition-librispeech?
wav2vec2-large-robust-24-ft-age-gender (318M parameters) is larger than wav2vec2-large-xlsr-53-gender-recognition-librispeech (316M parameters), by the parameter counts their publishers report.
Which is cheaper to run, wav2vec2-large-robust-24-ft-age-gender or wav2vec2-large-xlsr-53-gender-recognition-librispeech?
At 4-bit, wav2vec2-large-robust-24-ft-age-gender fits on 1x MI300X from $1.85 an hour and wav2vec2-large-xlsr-53-gender-recognition-librispeech on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use wav2vec2-large-robust-24-ft-age-gender commercially?
Not without separate permission. wav2vec2-large-robust-24-ft-age-gender is released under Creative Commons Attribution-NonCommercial-ShareAlike 4.0. CC BY-NC-SA 4.0 permits non-commercial sharing and adapting with credit, and requires adaptations to use the same license. Commercial use needs separate permission.
Can I use wav2vec2-large-xlsr-53-gender-recognition-librispeech commercially?
Yes. wav2vec2-large-xlsr-53-gender-recognition-librispeech is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.