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Vigogne 2 7B Instruct GPTQ by TheBloke

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  4-bit   Autotrain compatible 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-2-7B-Instruct-GPTQ 

Vigogne 2 7B Instruct GPTQ Benchmarks

LLME Score: 0.10213
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vigogne 2 7B Instruct GPTQ (TheBloke/Vigogne-2-7B-Instruct-GPTQ)
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Vigogne 2 7B Instruct GPTQ Parameters and Internals

Model Type 
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:
Accepted Modalities:
text
Output Format:
Text
LLM NameVigogne 2 7B Instruct GPTQ
Repository 🤗https://huggingface.co/TheBloke/Vigogne-2-7B-Instruct-GPTQ 
Model NameVigogne 2 7B Instruct
Model Creatorbofenghuang
Base Model(s)  Vigogne 2 7B Instruct   bofenghuang/vigogne-2-7b-instruct
Model Size7b
Required VRAM3.9 GB
Updated2025-08-19
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  3.9 GB
Supported Languagesfr
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length2048
Model Max Length2048
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-2-7B-Instruct-GPTQ.

Rank the Vigogne 2 7B Instruct GPTQ 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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