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Lucie 7B Instruct by OpenLLM-France

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Base model:finetune:openllm-fr... Base model:openllm-france/luci...   Conversational   Dataset:allenai/wildchat-1m Dataset:cmh/alpaca data cleane... Dataset:magpie-align/magpie-ge...   Dataset:yahma/alpaca-cleaned   En   Fr   Gguf   Instruct   Llama   Q4   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/OpenLLM-France/Lucie-7B-Instruct 

Lucie 7B Instruct Benchmarks

MMLU Pro: 6.18
GPQA: 3.91
MUSR: 3.21
BBH: 7.26
IFEval: 27.96 vs 88 (so35)-68.2%
MATH Lvl 5: 0.45
LLME Score: 0.35517
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 (OpenLLM-France/Lucie-7B-Instruct)

Lucie 7B Instruct Parameters and Internals

LLM NameLucie 7B Instruct
Repository 🤗https://huggingface.co/OpenLLM-France/Lucie-7B-Instruct 
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   4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.5 GB: 3-of-3
Supported Languagesfr en
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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Rank the Lucie 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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