multimodalart/higgs-audio-v3-tts-4b-transformers

text-to-speech model by multimodalart

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A trustremotecode packaging of bosonai/higgs-audio-v3-tts-4b that loads with plain 🤗 transformers (no SGLang). The weights are the original checkpoint, copied unchanged; only a small modeling.py / configuration.py pair and an automap were added. The model is a standard Qwen3-4B backbone plus a fused multi-codebook audio embedding/head. Reference-audio encoding and waveform decoding use the transformers-native bosonai/higgs-audio-v2-tokenizer (higgsaudiov2tokenizer), loaded…

multimodalart/higgs-audio-v3-tts-4b-transformers on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-28T14:41:03.112Z

Inside the original model card — Document outline
  1. Higgs Audio v3 TTS (4B) — transformers trustremotecode port
  2. Usage
  3. Notes

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Model overview

multimodalart/higgs-audio-v3-tts-4b-transformers is a text-to-speech model repository published by multimodalart on Hugging Face. The source reports the transformers library.

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Model facts

Task
text-to-speech
Library
transformers
Recent downloads (30 days)
28,778
Cumulative likes
24
Hugging Face trending score
1
Reported safetensors parameters
4,654,850,537
Architecture
HiggsMultimodalQwen3ForConditionalGeneration
License
other
Access
Not gated by Hugging Face
Created
2026-06-05T03:33:56.000Z
Last modified
2026-06-05T05:46:07.000Z

Compatibility and lineage

Reported languages: en

Reported base models: bosonai/higgs-audio-v3-tts-4b

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

Model files and configuration

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:52:33.137Z. Daily imports are snapshots, not real-time monitoring.

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