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aufklarer/
Indic-Mio-MLX-fp16

Name: Indic-Mio-MLX-fp16
Availability: InStock

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Indic-Mio-MLX-fp16

Apple Silicon fp16 export of SPRINGLab/Indic-Mio, bundled with the MioCodec 25 Hz / 24 kHz companion required to decode Indic-Mio content tokens into waveform audio.

This is an artifact bundle for Swift/MLX runtime work. It preserves upstream key names; runtime code is expected to implement model loading, sampling, MioCodec conditioning, and waveform decoding.

Model

Field	Value
Primary source	`SPRINGLab/Indic-Mio`
Primary source revision	`25feace00ca76c71c40b1e8d921fd3c2943c545e`
Bundled codec source	`Aratako/MioCodec-25Hz-24kHz`
Bundled codec revision	`3a737f0de2c6324cb2fe40c1fbd1056c7add423d`
Format	MLX fp16 safetensors
Primary license	Apache-2.0
Codec license	MIT
Total bundle size	1.5 GB
Sample rate	24,000 Hz
Voice conditioning	MioCodec global embeddings / zero-shot voice path
Runtime status	Artifact export; Swift/MLX runtime port required

Emotion Control

Field	Value
Marker syntax	Suffix angle tags
Supported markers	`<happy>`, `<sad>`, `<angry>`, `<disgust>`, `<fear>`, `<surprise>`

Files

File	Size	Description
`README.md`	2.3 KB	Model card.
`added_tokens.json`	309.6 KB	Tokenizer asset copied from the upstream Indic-Mio repository.
`bundle_config.json`	697 B	Soniqo bundle metadata linking the text model and bundled codec.
`chat_template.jinja`	205 B	Upstream generation/template metadata.
`config.json`	1.4 KB	Upstream Qwen/Indic-Mio model config at repo root for runtime loading and HF download tracking.
`generation_config.json`	183 B	Upstream generation/template metadata.
`merges.txt`	1.7 MB	Tokenizer asset copied from the upstream Indic-Mio repository.
`miocodec/config.json`	230 B	MioCodec runtime/export config.
`miocodec/config.yaml`	2.4 KB	MioCodec runtime/export config.
`miocodec/model.safetensors`	261.6 MB	Bundled MioCodec fp16 weights required for waveform decoding.
`miocodec/soniqo_manifest.json`	1.3 KB	Export manifest with source revisions, license posture, and bundle metadata.
`model.safetensors`	1.2 GB	Indic-Mio fp16 weights with upstream key names preserved.
`soniqo_manifest.json`	3.1 KB	Export manifest with source revisions, license posture, and bundle metadata.
`special_tokens_map.json`	613 B	Tokenizer asset copied from the upstream Indic-Mio repository.
`tokenizer.json`	13.8 MB	Tokenizer asset copied from the upstream Indic-Mio repository.
`tokenizer_config.json`	2.3 MB	Tokenizer asset copied from the upstream Indic-Mio repository.
`vocab.json`	2.8 MB	Tokenizer asset copied from the upstream Indic-Mio repository.

Validation

Test	Result
Indic-Mio + MioCodec local roundtrip	Passed
Input text	`नमस्ते, मैं आज बहुत खुश हूँ। <happy>`
ASR transcript	`नमस्ते, मैं आज बहुत खुश हूँ`
Sample rate	24000 Hz

The roundtrip test was a local synthesis and transcription sanity check. It verifies that the exported Indic-Mio weights and bundled MioCodec path can produce intelligible Hindi speech for an explicit emotion marker. It is not a full runtime benchmark.

Usage

These artifacts are not a drop-in Transformers checkpoint. They are intended for speech-swift or another MLX runtime that implements the Indic-Mio token generation path and MioCodec decoding path.

bash

git lfs install
git clone https://huggingface.co/aufklarer/Indic-Mio-MLX-fp16

Expected bundle layout:

text

Indic-Mio-MLX-fp16/
  model.safetensors
  config.json
  tokenizer.json
  bundle_config.json
  soniqo_manifest.json
  miocodec/
    model.safetensors
    config.json
    config.yaml
    soniqo_manifest.json

Source

Indic-Mio upstream model: https://huggingface.co/SPRINGLab/Indic-Mio
MioCodec upstream model: https://huggingface.co/Aratako/MioCodec-25Hz-24kHz

aufklarer/Indic-Mio-MLX-fp16