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FreyaTTS-small
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FreyaTTS-small is an open-weights text-to-speech model from Freya Voice, released July 2026. Its published size is 0.183B parameters. Licence: apache-2.0.
Catalogue identity notes
Freya Voice's FreyaTTS-small Turkish TTS (183M; freyavoice/freya-tts, pinned d124e07, Apache-2.0; card: 'FreyaTTS-small (this model) is our compact, Apache-2.0, self-hostable model'). The Antalia re-run uses its defaults (32 steps, fixed voice seed) per harness/systems/run_freya.py.
Model information sources
Release date ↗ · Weights licence ↗
183M as printed in the re-run table (HF safetensors metadata 183,198,145).
Score within the Vapi Humanness · Bradley–Terry rating, 2026-09-25 snapshot comparison set only.
$ how it compares
The text-to-speech models ranked either side of FreyaTTS-small, out of 148 with a score.
| # | model | score | where |
|---|---|---|---|
| 144 |  MMS TTS Turkish | 18±4 | local |
| 145 |  Antalia 1 | 17±3 | comparison only |
| 146 |  Amphion NaturalSpeech 2 (LibriTTS) | 14±3 | local |
| 147 |  Glow-TTS Common Voice (Turkish) | 11±4 | local |
| 148 | FreyaTTS-small | 9±4 | comparison only |
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$ what it's good at
other tests1 not in a task · 94% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Freya-TR-Eval Turkish TTS intelligibility (WER, faster-whisper large-v3, 8 kHz band) | 12.0% ✎ | ▄··▄··▄···▂█ beats 0/10 | 94% |
$ where to run it
No verified API or download recorded yet · add one
Official weights and documentation: huggingface.co/freyavoice ↗
$ how the score was worked out · Antalia-2 Mini model card (cl… 94%
Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works
| source | results | share of the score |
|---|---|---|
 Antalia-2 Mini model card (cloud0day3/antalia-mini), public Freya-TR-Eval re-run table | 1 | 94% |
| prior · pull toward the middle | 6% | |
| weighted average | = 9.2 |
$ improve this page
Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.
data updated · sources and licences · json