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Antalia 1
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Antalia 1 is an open-weights text-to-speech model from Patientdesk.ai, released September 2026. Its published size is 0.305B parameters. Licence: openrail.
Catalogue identity notes
Patientdesk.ai's Antalia 1 open-weights Turkish TTS (305M; cloud0day3/antalia-1, pinned eaec2aa, card licence openrail). EMA's card footnote: '"Antalia 1" by Sezgin Saygili, Emre Kaplaner, Oncel Ozgul and Fikri San Koktas (Patientdesk.ai): huggingface.co/cloud0day3/antalia-1. Three of its takes failed inside its own code and count as silence.' The Antalia re-run uses the release recipe (inference-recipe.json) per harness/systems/run_antalia.py.
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 Antalia 1, out of 148 with a score, then more from Patientdesk.ai.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 143 |  YourTTS | 18±3 | local | ||
| 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 | ||
| more from Patientdesk.ai | |||||
| 110 | Antalia-2 Mini | 40±4 | comparison only | ||
see all text-to-speech models · find the ones that fit your machine
$ what it's good at
other tests1 not in a task · 97% 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) lab +1 | 6.3% ✎ | ▄··▄··▄···▂█ beats 3/10 | 97% |
$ where to run it
No verified API or download recorded yet · add one
Weights and documentation: huggingface.co/cloud0day3 ↗
$ how the score was worked out · Antalia-2 Mini model card (cl… 53%, EMA Lightning model card (can… 43%
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 · lab-reported | 1 | 53% |
| EMA Lightning model card (canberkkkkkk/ema-lightning), Benchmarks: Freya-TR-Eval | 1 | 43% |
| prior · pull toward the middle | 3% | |
| weighted average | = 16.7 |
$ 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