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Silicon Monika 7B Gguf by 922CA

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Silicon Monika 7B Gguf is an open-source language model by 922CA. Features: 7b LLM, VRAM: 4.4GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

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-Monika-7b-gguf 

Silicon Monika 7B Gguf Benchmarks

LLME Score: 0.11873
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Silicon Monika 7B Gguf (922CA/Silicon-Monika-7b-gguf)
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Silicon Monika 7B Gguf Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, gguf
Additional Notes 
GGUF of "922CA/Silicon-Monika-7b" primarily tested and run with Koboldcpp v1.55+.
Training Details 
Methodology:
Trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameSilicon Monika 7B Gguf
Repository 🤗https://huggingface.co/922CA/Silicon-Monika-7b-gguf 
Base Model(s)  Silicon Maid 7B   SanjiWatsuki/Silicon-Maid-7B
Model Size7b
Required VRAM4.4 GB
Updated2026-05-18
Maintainer922CA
Model Typemistral
Model Files  4.4 GB   5.1 GB   7.7 GB   14.5 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-Monika-7b-gguf.

Rank the Silicon Monika 7B Gguf 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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