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.
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.
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