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Vigogne 2 13B Instruct GGML by TheBloke

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Vigogne 2 13B Instruct GGML is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 5.5GB, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.09.

Base model:bofenghuang/vigogne... Base model:finetune:bofenghuan...   Fr   Ggml   Instruct   Llama   Llama2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Vigogne-2-13B-Instruct-GGML 

Vigogne 2 13B Instruct GGML Benchmarks

LLME Score: 0.08514
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 GGML (TheBloke/Vigogne-2-13B-Instruct-GGML)
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Vigogne 2 13B Instruct GGML Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Limitations:
Generates harmful or biased content, Incorrect information, Generally unhelpful answers
Supported Languages 
French (High proficiency)
Training Details 
Methodology:
Fine-tuned to follow French instructions
Model Architecture:
Llama-2 based
LLM NameVigogne 2 13B Instruct GGML
Repository 🤗https://huggingface.co/TheBloke/Vigogne-2-13B-Instruct-GGML 
Model NameVigogne 2 13B Instruct
Model Creatorbofenghuang
Base Model(s)  Vigogne 2 13B Instruct   bofenghuang/vigogne-2-13b-instruct
Model Size13b
Required VRAM5.5 GB
Updated2026-04-05
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  5.5 GB   6.9 GB   6.3 GB   5.7 GB   7.4 GB   8.2 GB   7.9 GB   7.4 GB   9.0 GB   9.8 GB   9.2 GB   9.0 GB   10.7 GB   13.8 GB
Supported Languagesfr
GGML QuantizationYes
Quantization Typeggml
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-GGML.

Rank the Vigogne 2 13B Instruct GGML 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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