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Vigogne 33B Instruct by bofenghuang

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  Autotrain compatible   Fr   Instruct   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/bofenghuang/vigogne-33b-instruct 

Vigogne 33B Instruct Benchmarks

ARC: 63.05 vs 96.7 (so35)-34.8%
HellaSwag: 85 vs 95.3 (gpt4)-10.8%
MMLU: 58.32 vs 88.3 (so35)-34%
TruthfulQA: 52.1 vs 59 (gpt4)-11.7%
WinoGrande: 78.85 vs 87.5 (gpt4)-9.9%
GSM8K: 11.14 vs 96.4 (so35)-88.4%
LLME Score: 0.11177
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vigogne 33B Instruct (bofenghuang/vigogne-33b-instruct)
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Vigogne 33B Instruct Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research
Limitations:
generates harmful or biased content, incorrect information, unhelpful answers
Additional Notes 
Based on Stanford Alpaca model structure.
Supported Languages 
fr (proficient)
Training Details 
Data Sources:
translated Stanford Alpaca dataset
Data Volume:
262k instances
Methodology:
fine-tuned
Model Architecture:
LLaMA-33B
Input Output 
Input Format:
Text prompts
Accepted Modalities:
text
Output Format:
Text
Release Notes 
Version:
V1.0
Notes:
Initial release, trained on the translated Stanford Alpaca dataset.
Version:
V2.0
Notes:
Expanded training dataset to 262k for better performance.
LLM NameVigogne 33B Instruct
Repository 🤗https://huggingface.co/bofenghuang/vigogne-33b-instruct 
Model Size33b
Required VRAM65.2 GB
Updated2025-09-23
Maintainerbofenghuang
Model Typellama
Instruction-BasedYes
Model Files  9.8 GB: 1-of-7   10.0 GB: 2-of-7   9.9 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   10.0 GB: 6-of-7   5.7 GB: 7-of-7
Supported Languagesfr
Model ArchitectureLlamaForCausalLM
Licenseopenrail
Context Length2048
Model Max Length2048
Transformers Version4.28.1
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 bofenghuang/vigogne-33b-instruct.

Rank the Vigogne 33B 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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Release v20241124
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