Instructions to use 4-alokk/maya-go-macos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use 4-alokk/maya-go-macos with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download 4-alokk/maya-go-macos --local-dir maya-go-macos
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
maya-go-macos
Weights for running Maya 2 Native (Indic + English TTS, 20 built-in voices, 24 kHz) in the Adsorp Go server on macOS Apple Silicon only (MLX / Metal). These are the unmodified upstream files from maya-research/maya2-native plus the kyutai/mimi codec, laid out for the Go server and listed in manifest.json (size + SHA-256 per file).
model-0000x-of-00002.safetensors,model.safetensors.index.json,maya3_config.json,config.jsonβ Maya 2 Native (bfloat16; the server quantises to 8-bit at load)q6/model.safetensorsβ the same model pre-quantised to 6-bit (group 64, β2.7 GB, produced by the Go server's--export-packed); used instead of the two shards above when 6-bit is chosen (faster, smaller download, close to 8-bit quality).manifest.jsontags filesgroup: full(the original shards, used for 8-bit) orgroup: q6; untagged files are shared. An older experimentalq4/model.safetensorsmay still exist in this repo; it is no longer used because its voice quality was clearly worse.backbone/β Qwen3 tokenizer and configvoices/voices.jsonβ the 20 named voicesmimi/β Mimi codec (CC-BY-4.0, Kyutai)duration_prior.json,text_frames_prior.jsonβ length priors used by the stop guards
Needs roughly 7 GB of unified memory at 8-bit (6-bit: less, and faster). Not intended for Windows, Linux or Intel Macs. Voice cloning (ECAPA speaker encoder) is not included.
See NOTICE.md and LICENSE for attribution.
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Model size
3B params
Tensor type
BF16
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Hardware compatibility
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Quantized