# Notices and attribution

This repository is an independent MLX (Apple Silicon) port of **Maya 2 Native** by Maya Research. It is not an
official Maya Research release.

## Maya 2 Native (model weights and code), Apache-2.0

- Model: [maya-research/maya2-native](https://huggingface.co/maya-research/maya2-native), © Maya Research,
  Apache-2.0 (`LICENSE`, copied unchanged from the release).
- Code: [MayaResearch/maya2-native](https://github.com/MayaResearch/maya2-native), commit `c6b3768`, Apache-2.0.
- Changes in this repository:
  - The weights were re-laid out for MLX.
  - `models/maya2-8bit` quantizes most backbone tensors, the token embeddings and the feedback table to 8 bits (the
    recipe is in its `quant.json`).
  - The inference code was rewritten for MLX in `maya2_mlx/`.
  - `maya3/guards.py`, `maya3/assets/`, `maya3/text/`, `maya3/__init__.py` and `configs/text_frames_prior.json` are
    copied unchanged from the official repository.
- Built-in voice names identify synthetic personas, not real people. Follow the original model card's intended-use
  and responsible-deployment section: disclose synthetic speech, no impersonation or deception.

## Kyutai Mimi (audio codec weights), CC-BY-4.0

- Model: [kyutai/mimi](https://huggingface.co/kyutai/mimi), © Kyutai, licensed under
  [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
- `models/*/mimi.safetensors` holds Mimi's decoder: the quantizer codebooks, the upsampler, the decoder transformer
  and the SEANet decoder.
- Changes: convolution weights re-laid out for MLX, codebook embeddings stored as computed (embed_sum / cluster
  usage), RoPE tables precomputed, encoder weights left out. Values are otherwise unchanged (fp32).

## Qwen3 (backbone architecture), Apache-2.0

The backbone has the Qwen3-1.7B architecture (Qwen team, Alibaba, Apache-2.0). Its weights here are Maya 2 Native's
trained weights, not Qwen's.

## Citation of the original model

```bibtex
@misc{maya2native2026,
  title        = {Maya 2 Native: Streaming Multilingual Text-to-Speech},
  author       = {{Maya Research}},
  year         = {2026},
  url          = {https://huggingface.co/maya-research/maya2-native},
  note         = {Release 1.0}
}
```