BaiLing TTS
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Ant Group
- Organisation type
- Industry
- Country
- China
- Published
- 1 August 2024
- Authors
- Xinhan Di, Zihao Chen, Yunming Liang, Junjie Zheng, Yihua Wang, Chaofan Ding
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Speech
- Task
- Text-to-speech (TTS)
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
The training run
What it physically took to train: which chips, how many, for how long, and what that drew from the wall.
- Training hardware
- NVIDIA A100
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- Unreleased
- Training code
- Unreleased
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- Bailing-TTS: Chinese Dialectal Speech Synthesis Towards Human-like Spontaneous Representation
- Last updated
- 28 November 2025
What the numbers mean
Background
BaiLing TTS was published by Ant Group, in the country recorded as China, during August 2024. It comes out of an organisation categorised as industry.
It works in the domain of Speech, and is recorded as performing the task of text-to-speech (TTS).
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
BaiLing TTS — common questions
BaiLing TTS— what is it used for?
It works in the domain of Speech, and is recorded as handling the task of text-to-speech (TTS). Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
BaiLing TTS— what GPU do I need to run it?
None. This is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
BaiLing TTS— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
BaiLing TTS— how many parameters does it have?
No parameter count has been published for it, which is why no memory or speed figure appears on this page.
BaiLing TTS— who created it?
It was published by Ant Group, based in China, an organisation categorised as industry.
BaiLing TTS— when was it released?
It was published in August 2024. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.