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Vigogne 2 13B Instruct GGUF by TheBloke

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Base model:bofenghuang/vigogne... Base model:quantized:bofenghua...   Fr   Gguf   Instruct   Llama   Llama2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Vigogne-2-13B-Instruct-GGUF 

Vigogne 2 13B Instruct GGUF Benchmarks

LLME Score: 0.13464
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vigogne 2 13B Instruct GGUF (TheBloke/Vigogne-2-13B-Instruct-GGUF)

Vigogne 2 13B Instruct GGUF Parameters and Internals

Model Type 
text-generation, instruction-following
Additional Notes 
TheBloke's LLM work is supported by a grant from andreessen horowitz (a16z)
Supported Languages 
French (high)
Training Details 
Methodology:
fine-tuning
Hardware Used:
auto
Model Architecture:
LLaMA-2 based
Input Output 
Input Format:
Generates based on French instructions
Accepted Modalities:
text
Output Format:
text
Release Notes 
Version:
Q2_K
Notes:
Significant quality loss
LLM NameVigogne 2 13B Instruct GGUF
Repository 🤗https://huggingface.co/TheBloke/Vigogne-2-13B-Instruct-GGUF 
Model NameVigogne 2 13B Instruct
Model Creatorbofenghuang
Base Model(s)  Vigogne 2 13B Instruct   bofenghuang/vigogne-2-13b-instruct
Model Size13b
Required VRAM5.4 GB
Updated2025-03-13
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  5.4 GB   6.9 GB   6.3 GB   5.7 GB   7.4 GB   7.9 GB   7.4 GB   9.0 GB   9.2 GB   9.0 GB   10.7 GB   13.8 GB
Supported Languagesfr
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Vigogne-2-13B-Instruct-GGUF.

Rank the Vigogne 2 13B Instruct 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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