Vigogne 2 7B Instruct by bofenghuang

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  Autotrain compatible   Fr   Instruct   Llama   Llama2   Pytorch   Region:us   Sharded

Vigogne 2 7B Instruct Benchmarks

Vigogne 2 7B Instruct (bofenghuang/vigogne-2-7b-instruct)
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Vigogne 2 7B Instruct Parameters and Internals

Model Type 
text generation
Additional Notes 
Vigogne-2-7B-Instruct is a Llama-2 based model fine-tuned for French instructions.
Supported Languages 
French (high)
LLM NameVigogne 2 7B Instruct
Repository ๐Ÿค—https://huggingface.co/bofenghuang/vigogne-2-7b-instruct 
Model Size7b
Required VRAM13.5 GB
Updated2025-08-19
Maintainerbofenghuang
Model Typellama
Instruction-BasedYes
Model Files  2.0 GB: 1-of-7   2.0 GB: 2-of-7   2.0 GB: 3-of-7   2.0 GB: 4-of-7   1.9 GB: 5-of-7   1.9 GB: 6-of-7   1.7 GB: 7-of-7
Supported Languagesfr
Model ArchitectureLlamaForCausalLM
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

Quantized Models of the Vigogne 2 7B Instruct

Model
Likes
Downloads
VRAM
Vigogne 2 7B Instruct GGUF4422 GB
Vigogne 2 7B Instruct GPTQ3173 GB
Vigogne 2 7B Instruct GGML232 GB

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Note: green Score (e.g. "73.2") means that the model is better than bofenghuang/vigogne-2-7b-instruct.

Rank the Vigogne 2 7B Instruct 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124