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Tsukuyomi Chan Style Bert Vits2 Model by ayousanz

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Tsukuyomi Chan Style Bert Vits2 Model is an open-source language model by ayousanz. Features: LLM, VRAM: 0.2GB, License: other, LLM Explorer Score: 0.11.

Base model:finetune:litagin/st... Base model:litagin/style-bert-...   Endpoints compatible   Jp   Region:us   Stylebertvits2   つくよみちゃん
Model Card on HF 🤗: https://huggingface.co/ayousanz/tsukuyomi-chan-style-bert-vits2-model 

Tsukuyomi Chan Style Bert Vits2 Model Benchmarks

LLME Score: 0.11386
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tsukuyomi Chan Style Bert Vits2 Model (ayousanz/tsukuyomi-chan-style-bert-vits2-model)
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Tsukuyomi Chan Style Bert Vits2 Model Parameters and Internals

Model Type 
speech synthesis
Training Details 
Data Sources:
つくよみちゃんコーパス│声優統計コーパス（JVSコーパス準拠）
LLM NameTsukuyomi Chan Style Bert Vits2 Model
Repository 🤗https://huggingface.co/ayousanz/tsukuyomi-chan-style-bert-vits2-model 
Model Nametsukuyomi-chan
Base Model(s)  litagin/Style-Bert-VITS2-2.0-base-JP-Extra   litagin/Style-Bert-VITS2-2.0-base-JP-Extra
Required VRAM0.2 GB
Updated2026-05-26
Maintainerayousanz
Model Files  0.2 GB   0.2 GB   0.2 GB   0.2 GB   0.2 GB   0.2 GB
Supported Languagesjp
Model ArchitectureAutoModel
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than ayousanz/tsukuyomi-chan-style-bert-vits2-model.

Rank the Tsukuyomi Chan Style Bert Vits2 Model Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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