Instructions to use aufklarer/Higgs-TTS-3-4B-MLX-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use aufklarer/Higgs-TTS-3-4B-MLX-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Higgs-TTS-3-4B-MLX-bf16 aufklarer/Higgs-TTS-3-4B-MLX-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Higgs TTS 3 — MLX bf16
Native MLX bundle of Higgs TTS 3 — a ~4B conversational text-to-speech model built on a Qwen3-4B decoder with a fused 8-codebook audio interface (8 x 1026 vocab at 25 fps, MusicGen-style delay pattern) and an embedded Higgs codec, producing 24 kHz speech. Zero-shot voice cloning from a short reference clip plus transcript, 100+ languages, and inline control tokens for emotion, style, sound effects, and prosody.
Part of soniqo.audio — an on-device speech toolkit for
Apple Silicon. Consumed by the open-source
speech-swift library
(module HiggsTTS).
Bundle size: 9321 MB
Capabilities
- Zero-shot voice cloning — one short reference clip plus its transcript
- 100+ languages (85 at WER/CER < 5 per the upstream card)
- Inline control tokens —
<|emotion:...|>(21),<|style:...|>(3),<|sfx:...|>(9),<|prosody:...|>(10), placed directly in the text - 24 kHz output at 25 fps via the embedded Higgs codec
- Conversational delivery — built for voice chat, speaks rather than reads
Model
| Field | Value |
|---|---|
| Backbone | Qwen3-4B decoder (36 layers, hidden 2560, GQA 32/8) |
| Audio interface | 8 codebooks x 1026 vocab, 25 fps, delay pattern |
| Codec | embedded (DAC-style acoustic enc/dec + semantic distillation + 8-layer RVQ) |
| Sample rate | 24 kHz |
| Context | 8192 tokens |
| Precision | bf16, upstream key names preserved |
Files
| File | Description |
|---|---|
model.safetensors |
Full system: backbone, fused codebook embedding/head, codec (bf16) |
config.json |
Upstream architecture config |
tokenizer.json, tokenizer_config.json |
Qwen tokenizer with Higgs special/control tokens |
chat_template.jinja |
Upstream chat template |
soniqo_manifest.json |
Bundle manifest: source, license posture, file hashes |
Validation
Apple Silicon roundtrip gate (cloned voice, transcribed with Qwen3-ASR): English 0.0% WER, Mandarin 0.0% CER, Spanish 0.0% WER, Japanese 3.0% CER at RTF 0.8-0.9 in the Python MLX reference implementation.
Source
This bundle preserves the upstream weights at
bosonai/higgs-tts-3-4b
(formerly bosonai/higgs-audio-v3-tts-4b), built by Boson AI on the Qwen3-4B-Base
backbone. Technical blog: https://boson.ai/blog/higgs-audio-v3-tts.
License
Boson Higgs TTS 3 Research and Non-Commercial License (license: other),
inherited from upstream. Research and non-commercial use; a Creator Use Grant
permits monetized creator content with attribution to "Boson AI's Higgs
Audio". Production, hosted APIs, or embedding in products requires a
commercial license from Boson AI.
Responsible use
Voice cloning capability is included. Users are responsible for obtaining consent for any voice that is cloned and for not using the model to impersonate individuals without their permission, generate disinformation, or commit fraud.
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Base model
bosonai/higgs-tts-3-4b