aufklarer / Indic-Mio-MLX-fp16

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Total runs: 89
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7-day runs: 19
30-day runs: 22
Model's Last Updated: June 26 2026
text-to-speech

Introduction of Indic-Mio-MLX-fp16

Model Details of Indic-Mio-MLX-fp16

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.

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

Expected bundle layout:

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
Links

Runs of aufklarer Indic-Mio-MLX-fp16 on huggingface.co

89
Total runs
3
24-hour runs
13
3-day runs
19
7-day runs
22
30-day runs

More Information About Indic-Mio-MLX-fp16 huggingface.co Model

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Indic-Mio-MLX-fp16 huggingface.co is an AI model on huggingface.co that provides Indic-Mio-MLX-fp16's model effect (), which can be used instantly with this aufklarer Indic-Mio-MLX-fp16 model. huggingface.co supports a free trial of the Indic-Mio-MLX-fp16 model, and also provides paid use of the Indic-Mio-MLX-fp16. Support call Indic-Mio-MLX-fp16 model through api, including Node.js, Python, http.

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https://huggingface.co/aufklarer/Indic-Mio-MLX-fp16

Indic-Mio-MLX-fp16 install

Indic-Mio-MLX-fp16 is an open source model from GitHub that offers a free installation service, and any user can find Indic-Mio-MLX-fp16 on GitHub to install. At the same time, huggingface.co provides the effect of Indic-Mio-MLX-fp16 install, users can directly use Indic-Mio-MLX-fp16 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Indic-Mio-MLX-fp16 install url in huggingface.co:

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