Model overview
For the latest models please see audio.cpp project main. This is no longer maintained. Self-contained multilingual GGUF exports of KittenML/kitten-tts-2 weights at revision `f2eee74f4467855ad58fe16f1fb7b7df473263fd`. Each file includes an S3 MeanFlow decoder, speaker encoders, tokenizer, and all 48 prepared voice entries. Use an audio.cpp build containing the updated Kitten TTS 2 BF16/Q8/Q4 support. The model family is `kitten_tts2`. BF16/Q8/Q4 model-manager installations share `models/kitten-tts2-v2/`, with a distinct filename for each precision. Leave `kitten_tts2.weight_type` unset, or use `native`, to preserve each file's stored precision. Inference needs no Python or LibTorch installation.
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：other。模型介绍与第三方评测均以原来源的具体版本和方法为准。