SAVRN Model Hub · Comparisons
clap-htsat-fused vs Common-Voice-Gender-Detection
Clap-htsat-fused has 154M parameters and Common-Voice-Gender-Detection has 95M parameters; both are released under Apache License 2.0; at 16-bit, clap-htsat-fused needs about 0.4 GB (1x MI300X from $1.85 an hour) and Common-Voice-Gender-Detection about 0.2 GB (1x MI300X from $1.85 an hour).
| Field | clap-htsat-fused laion/clap-htsat-fused | Common-Voice-Gender-Detection prithivMLmods/Common-Voice-Gender-Detection |
|---|---|---|
| Publisher | LAION eV | Prithiv Sakthi |
| Task | Audio classification | Audio classification |
| Modality | Audio | Audio |
| Parameters, as reported | 154M parameters | 95M parameters |
| Architecture | ClapModel | Wav2Vec2ForSequenceClassification |
| Library | transformers | transformers |
| Context length | 514 tokens | Not stated |
| Repository size | 1.2 GB | 1.5 GB |
| Artifact formats | safetensors, pytorch | safetensors |
| License | apache-2.0 | apache-2.0 |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 0.4 GB | 0.2 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 0.1 GB | 0.1 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 365dea6ef167 | ebbf41293c8d |
| Downloads reported by the hub | 8.2M | 172.9k |
| 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 clap-htsat-fused
Pairing sound with text is the job here: LAION eV's clap-htsat-fused puts audio and text embeddings in one space, so it can classify audio zero-shot against labels you write or produce features for search. Training data was LAION-audio-630k; size is 154M parameters. At 16-bit the weights are 0.3 GB and the run needs 0.4 GB; the cheapest listed option is one 192 GB MI300X at $1.85 an hour on-demand. Treat it as a sidecar on a card that is already serving something larger.
Apache 2.0 covers commercial deployment, modification and redistribution if the notices and any NOTICE file stay attached and significant changes are stated. Two checks before committing. The text side stops at 514 tokens, fine for labels and captions, not for long documents. And the repository is 1.23 GB in 11 files at float32 against 0.3 GB of 16-bit weights, so budget for storage and conversion.
Questions
Which is larger, clap-htsat-fused or Common-Voice-Gender-Detection?
clap-htsat-fused (154M parameters) is larger than Common-Voice-Gender-Detection (95M parameters), by the parameter counts their publishers report.
Which is cheaper to run, clap-htsat-fused or Common-Voice-Gender-Detection?
At 4-bit, clap-htsat-fused fits on 1x MI300X from $1.85 an hour and Common-Voice-Gender-Detection on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use clap-htsat-fused commercially?
Yes. clap-htsat-fused 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.
Can I use Common-Voice-Gender-Detection commercially?
Yes. Common-Voice-Gender-Detection 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.