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Vigogne 2 13B Instruct GPTQ by TheBloke

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Vigogne 2 13B Instruct GPTQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.3GB, Context: 4K, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.09.

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

Vigogne 2 13B Instruct GPTQ Benchmarks

LLME Score: 0.08505
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 GPTQ (TheBloke/Vigogne-2-13B-Instruct-GPTQ)
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Vigogne 2 13B Instruct GPTQ Parameters and Internals

Model Type 
llama, LLM, text-generation
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
LLM NameVigogne 2 13B Instruct GPTQ
Repository 🤗https://huggingface.co/TheBloke/Vigogne-2-13B-Instruct-GPTQ 
Model NameVigogne 2 13B Instruct
Model Creatorbofenghuang
Base Model(s)  Vigogne 2 13B Instruct   bofenghuang/vigogne-2-13b-instruct
Model Size13b
Required VRAM7.3 GB
Updated2026-03-18
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  7.3 GB
Supported Languagesfr
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the Vigogne 2 13B Instruct GPTQ 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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