Sunbird/orpheus-3b-tts-multilingual

text-to-speech model by Sunbird

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A multilingual, multi-speaker text-to-speech model fine-tuned from unsloth/orpheus-3b-0.1-pretrained on the full Sunbird/tts corpus — 20 language configurations and every speaker present in the dataset. The model accepts arbitrary text and emits 24 kHz mono speech via the SNAC audio codec. Voice selection happens at the prompt level: prepend the chosen speakerid followed by ": " to your text, and the model produces audio in that speaker's voice. Speaker IDs encode both the source corpus (salt, waxal, slr32, slr129, bateesa) and the language. Languages marked with an em dash in the Speaker IDs column are present in the model's training mix but do not currently expose individual voice IDs in this checkpoint. Per-language quality scales with the amount of training data Sunbird collected for that language; some configs have many more speaker hours than others. Audition the test split for each language before relying on a particular speaker — see the…

Sunbird/orpheus-3b-tts-multilingual on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Orpheus-3B Sunbird Multilingual TTS
  2. Quick links
  3. Languages covered
  4. TL;DR
  5. Discovering speaker IDs
  6. Inference
  7. Option A — transformers + unsloth (single request)
  8. Option B — vllm (high throughput, batched, deployment)
  9. Generation parameters
  10. Token format
  11. Training details
  12. Data prep summary

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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

Sunbird/orpheus-3b-tts-multilingual is a text-to-speech model repository published by Sunbird on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-to-speech
Library
transformers
Recent downloads (30 days)
8,663
Cumulative likes
3
Hugging Face trending score
0
Reported safetensors parameters
3,300,864,000
Architecture
LlamaForCausalLM
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-05-05T11:49:36.000Z
Last modified
2026-06-15T09:55:02.000Z

Compatibility and lineage

Reported languages: ach, af, en, ee, ff, ha, ig, ki, rw, lgg, ln, lg, luo, nyn, st, sw, teo, tn, xh, yo

Reported base models: unsloth/orpheus-3b-0.1-pretrained

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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Source: Hugging Face Hub. Metadata observed 2026-09-23T06:37:28.165Z. Daily imports are snapshots, not real-time monitoring.

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