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Antalia-2 Mini
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Antalia-2 Mini is an open-weights text-to-speech model from Patientdesk.ai, released October 2026. Its published size is 0.0076B parameters. Licence: apache-2.0.
Catalogue identity notes
Patientdesk.ai's Antalia-2 Mini Turkish TTS (7.62M parameters: 3.69M acoustic + 3.93M vocoder; cloud0day3/antalia-mini, pinned 1e8166a, Apache-2.0; card version 1.0.0, pip package antalia-mini). The re-run table on its own card is by its makers (by: lab).
Model information sources
Release date ↗ · Weights licence ↗
7.62M as stated on the card (acoustic 3.69M + vocoder 3.93M).
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-2 Mini, out of 148 with a score, then more from Patientdesk.ai.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 108 | 41±3 | local | |||
| 109 | EMA Lightning | 40±3 | local | ||
| 110 | 40±4 | comparison only | |||
| 111 | 39±3 | local | |||
| 112 | 39±3 | comparison only | |||
| more from Patientdesk.ai | |||||
| 145 | 17±3 | 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 · 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) lab | 1.1% ✎ | ▄··▄··▄···▂█ beats 9/10 | 94% |
$ 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… 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 |
|---|---|---|
| 1 | 94% | |
| prior · pull toward the middle | 6% | |
| weighted average | = 39.9 |
$ 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