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Silicon Natsuki 7B by 922CA

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Silicon Natsuki 7B is an open-source language model by 922CA. Features: 7b LLM, VRAM: 14.4GB, License: llama3, LLM Explorer Score: 0.14, Arc: 65.2, HellaSwag: 84, MMLU: 62.9, GSM8K: 57.6.

Base model:finetune:sanjiwatsu... Base model:sanjiwatsuki/silico...   En   Endpoints compatible   Mistral   Model-index   Pytorch   Region:us   Safetensors   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/922CA/Silicon-Natsuki-7b 

Silicon Natsuki 7B Benchmarks

LLME Score: 0.13752
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Silicon Natsuki 7B (922CA/Silicon-Natsuki-7b)

Silicon Natsuki 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is trained to reflect the characteristics of the 'Natsuki' character from DDLC, but there's a possibility of hallucinations or character misalignment.
LLM NameSilicon Natsuki 7B
Repository 🤗https://huggingface.co/922CA/Silicon-Natsuki-7b 
Base Model(s)  Silicon Maid 7B   SanjiWatsuki/Silicon-Maid-7B
Model Size7b
Required VRAM14.4 GB
Updated2026-08-04
Maintainer922CA
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureAutoModel
Licensellama3
Model Max Length8192
Tokenizer ClassLlamaTokenizer
Padding Token<unk>

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Note: green Score (e.g. "73.2") means that the model is better than 922CA/Silicon-Natsuki-7b.

Rank the Silicon Natsuki 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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