Model reference · open weights

kokoro-coreml

Not for GPU servers Audio kensora Text→speech 1 build Open weights 1k dl/mo

kokoro-coreml is an open-weight audio or speech model from kensora. Built for Apple devices (Core ML). It does not run on NVIDIA GPUs.

  • kokoro-coreml is a text-to-speech model developed by kensora for on-device neural synthesis in the Kensora iOS app.
  • It re-hosts public Kokoro-82M weights as staged Core ML models, including components for the synthesis pipeline and a grapheme-to-phoneme speller.
  • The model is distributed under the apache-2.0 licence.

Summary of the kensora/kokoro-coreml model card, 2026-10-01

What it is

Released bykensora
Released2026-06-26
VRAM329 MB for the weights

What it runs on

Memory and cards for kokoro-coreml (BF16)

329 MBweights, file size
1.6 GBruntime overhead
CardOne streamMemory
RTX 3060 12 GBfits11.6 GB
RTX 4060 Ti 16 GBfits15.4 GB
RTX 3090 24 GBfits23.4 GB
RTX 4090 24 GBfits23.4 GB
RTX 5090 32 GBfits31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

From the model card

What kensora says about kokoro-coreml

Read the model card

On-device neural TTS for the Kensora iOS app (K509, ADR 0085). Public Kokoro-82M weights re-hosted as staged Core ML models, MLX-free.

  • KokoroFrontA.mlpackage, KokoroProsodyB.mlpackage, KokoroDecoder.mlpackage — the staged synthesis pipeline (front/duration, prosody/F0N, iSTFTNet vocoder).
  • BartEncoder.mlpackage, BartDecoder.mlpackage — misaki's out-of-vocabulary grapheme-to-phoneme speller (tiny BART), for pronouncing words outside the lexicon.

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

How it works

How audio & music work

Audio or textinputAudio modelrecognise / synthesiseText or audiooutputSpeech-to-text turns audio into text; text-to-speech and music models turn text into audio.

Running it

Where it runs

Built for Apple devices (Core ML). It does not run on NVIDIA GPUs.

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