suno/bark-small

text-to-speech model by suno

Open original source ↗

Older snapshot: check the original source for current information.

From the publisher

Model card & documentation

Source preview

Read the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.

Bark is a transformer-based text-to-audio model created by Suno. Bark can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects. The model can also produce nonverbal communications like laughing, sighing and crying. To support the research community, we are providing access to pretrained model checkpoints ready for inference. The original github repo and model card can be found here. This model is meant for research purposes only. The model output is not censored and the authors do not endorse the opinions in the generated content. Use at your own risk. Two checkpoints are released: Try out Bark yourself! You can run Bark locally with the 🤗 Transformers library from version 4.31.0 onwards. Or save them as a .wav file using a third-party library, e.g. scipy: For more details on using the Bark model for inference using the 🤗 Transformers library,…

suno/bark-small on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-28T19:04:00.060Z

Inside the original model card — Document outline
  1. Bark
  2. Example
  3. 🤗 Transformers Usage
  4. Optimization tips
  5. Get significant speed-ups:
  6. Reduce memory footprint:
  7. Suno Usage
  8. Model Details
  9. Text to semantic tokens
  10. Semantic to coarse tokens
  11. Coarse to fine tokens
  12. Architecture

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Links from the model card

References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.

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

Model overview

suno/bark-small is a text-to-speech model repository published by suno 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)
12,533
Cumulative likes
264
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
BarkModel
License
mit
Access
Not gated by Hugging Face
Created
2023-07-18T13:50:46.000Z
Last modified
2023-11-10T10:11:12.000Z

Compatibility and lineage

Reported languages: en, de, es, fr, hi, it, ja, ko, pl, pt, ru, tr, zh

Base-model lineage was not included.

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.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-16T06:43:26.748Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related models

hexgrad/Kokoro-82M

audio-cpp/audio.cpp-gguf

coqui/XTTS-v2

k2-fsa/OmniVoice

ResembleAI/chatterbox

pnnbao-ump/VieNeu-TTS-v3-Turbo