whatmodel.sh / tts / Antalia-2 Mini

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).

39.9±3.9comparison only: no current run option verifiedfrom 1 benchmark result across 1 source* thinly tested, treat the rank as provisional

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.

#modelscorewhereRAMreleased
108Fish Speech 1.5 Fish Audio41±3local~1.5GB2024-12
109EMA Lightning EMA Lightning (canberkkkkkk)40±3local~0GB2026-10
110Antalia-2 Mini Patientdesk.ai40±4comparison only2026-10
111HierSpeech++ v1.1 Korea University (Sang-Hoon Lee et al.)39±3local~2.1GB2023-11
112Trendyol-TTS Trendyol39±3comparison only2026-06
more from Patientdesk.ai
145Antalia 1 Patientdesk.ai17±3comparison only2026-09

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
testresultvs the others in its rundifficultycountswhy
Freya-TR-Eval Turkish TTS intelligibility (WER, faster-whisper large-v3, 8 kHz band) lab1.1% ✎▄··▄··▄···▂█ beats 9/10avg 0.3%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 94%typical

$ 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

sourceresultsshare of the scorelicence
Antalia-2 Mini model card (cloud0day3/antalia-mini), public Freya-TR-Eval re-run table · lab-reported1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 94%Apache-2.0
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