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Lucie 7B Instruct Human Data by OpenLLM-France

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Model Card on HF 🤗: https://huggingface.co/OpenLLM-France/Lucie-7B-Instruct-human-data 

Lucie 7B Instruct Human Data Benchmarks

MMLU Pro: 4.77
GPQA: 3.36
MUSR: 4.04
BBH: 7.63
IFEval: 29.46 vs 88 (so35)-66.5%
MATH Lvl 5: 1.36
LLME Score: 0.32191
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lucie 7B Instruct Human Data (OpenLLM-France/Lucie-7B-Instruct-human-data)

Lucie 7B Instruct Human Data Parameters and Internals

LLM NameLucie 7B Instruct Human Data
Repository 🤗https://huggingface.co/OpenLLM-France/Lucie-7B-Instruct-human-data 
Base Model(s)  Lucie 7B   OpenLLM-France/Lucie-7B
Model Size7b
Required VRAM13.4 GB
Updated2025-02-05
MaintainerOpenLLM-France
Model Typellama
Instruction-BasedYes
Model Files  4.1 GB   4.1 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.5 GB: 3-of-3
Supported Languagesfr en de it es
GGUF QuantizationYes
Quantization Typeq4|gguf|q4_k
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32000
Model Max Length32000
Transformers Version4.46.3
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size65024
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than OpenLLM-France/Lucie-7B-Instruct-human-data.

Rank the Lucie 7B Instruct Human Data 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 v20241227
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