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Lucie Boosted 7B Instruct by jpacifico

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Lucie Boosted 7B Instruct is an open-source language model by jpacifico. Features: 7b LLM, VRAM: 13.4GB, Context: 31K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

  Conversational Dataset:jpacifico/french-orca-...   En   Endpoints compatible   Fr   Instruct   Llama   Lucie   Lucie-boosted   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jpacifico/Lucie-Boosted-7B-Instruct 

Lucie Boosted 7B Instruct Benchmarks

LLME Score: 0.1924
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lucie Boosted 7B Instruct (jpacifico/Lucie-Boosted-7B-Instruct)
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Lucie Boosted 7B Instruct Parameters and Internals

LLM NameLucie Boosted 7B Instruct
Repository 🤗https://huggingface.co/jpacifico/Lucie-Boosted-7B-Instruct 
Model Size7b
Required VRAM13.4 GB
Updated2026-05-18
Maintainerjpacifico
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   4.9 GB: 2-of-3   3.5 GB: 3-of-3
Supported Languagesfr en
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32000
Model Max Length32000
Transformers Version4.48.0
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size65024
Torch Data Typefloat16

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

Rank the Lucie Boosted 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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