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Silicon Natsuki 7B V0.5 Gguf by 922CA

 »  All LLMs  »  922CA  »  Silicon Natsuki 7B V0.5 Gguf   URL Share it on

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Base model:quantized:sanjiwats... Base model:sanjiwatsuki/silico...   En   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/922CA/Silicon-Natsuki-7b-v0.5-gguf 

Silicon Natsuki 7B V0.5 Gguf Benchmarks

LLME Score: 0.14641
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 V0.5 Gguf (922CA/Silicon-Natsuki-7b-v0.5-gguf)
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Silicon Natsuki 7B V0.5 Gguf Parameters and Internals

Model Type 
text-generation-inference, transformers, mistral
Additional Notes 
The model was trained 2x faster using the Unsloth method and the Huggingface TRL library.
Supported Languages 
English (unknown)
Training Details 
Model Architecture:
Mistral
LLM NameSilicon Natsuki 7B V0.5 Gguf
Repository 🤗https://huggingface.co/922CA/Silicon-Natsuki-7b-v0.5-gguf 
Base Model(s)  Silicon Maid 7B   SanjiWatsuki/Silicon-Maid-7B
Model Size7b
Required VRAM7.7 GB
Updated2025-08-14
Maintainer922CA
Model Typemistral
Model Files  7.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than 922CA/Silicon-Natsuki-7b-v0.5-gguf.

Rank the Silicon Natsuki 7B V0.5 Gguf 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 v20241124
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