Model reference · open weights
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.
Summary of the kensora/kokoro-coreml model card, 2026-10-01
What it is
| Released by | kensora |
|---|---|
| Released | 2026-06-26 |
| VRAM | 329 MB for the weights |
What it runs on
| Card | One stream | Memory |
|---|---|---|
| RTX 3060 12 GB | fits | 11.6 GB |
| RTX 4060 Ti 16 GB | fits | 15.4 GB |
| RTX 3090 24 GB | fits | 23.4 GB |
| RTX 4090 24 GB | fits | 23.4 GB |
| RTX 5090 32 GB | fits | 31.0 GB |
| L40S 48 GB | fits | 44.0 GB |
| A100 80 GB | fits | 78.2 GB |
| H100 80 GB | fits | 78.1 GB |
| RTX PRO 6000 Blackwell 96 GB | fits | 93.8 GB |
| DGX Spark (GB10) 128 GB unified | fits | 107 GB |
| H200 141 GB | fits | 138 GB |
| B200 180 GB | fits | 176 GB |
From 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
Running it
Built for Apple devices (Core ML). It does not run on NVIDIA GPUs.