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Silicon Natsuki 7B by 922CA

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

Silicon Natsuki 7B Benchmarks

ARC: 65.19 vs 96.7 (so35)-32.6%
HellaSwag: 83.98 vs 95.3 (gpt4)-11.9%
MMLU: 62.88 vs 88.3 (so35)-28.8%
TruthfulQA: 57.85 vs 59 (gpt4)-1.9%
WinoGrande: 78.69 vs 87.5 (gpt4)-10.1%
GSM8K: 57.62 vs 96.4 (so35)-40.2%
LLME Score: 0.19907
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
Updated2025-02-22
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

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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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Release v20241227
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