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Lucie 7B Instruct Merged Model Stock V1.0 by jpacifico

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Lucie 7B Instruct Merged Model Stock V1.0 is an open-source language model by jpacifico. Features: 7b LLM, VRAM: 13.4GB, Context: 31K, Instruction-Based, Merged, LLM Explorer Score: 0.21.

  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:jpacifico/lucie-7b-... Base model:openllm-france/luci... Base model:openllm-france/luci...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.0 

Lucie 7B Instruct Merged Model Stock V1.0 Benchmarks

MMLU Pro: 9.68
GPQA: 5.15
MUSR: 5.48
BBH: 14.76
IFEval: 32.34 vs 88 (so35)-63.2%
MATH Lvl 5: 2.42
LLME Score: 0.21461
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 Merged Model Stock V1.0 (jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.0)
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Lucie 7B Instruct Merged Model Stock V1.0 Parameters and Internals

LLM NameLucie 7B Instruct Merged Model Stock V1.0
Repository 🤗https://huggingface.co/jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.0 
Base Model(s)  OpenLLM-France/Lucie-7B-Instruct-v1.1   Lucie 7B Instruct Human Data   jpacifico/Lucie-7B-Instruct-DPO-v1.1   OpenLLM-France/Lucie-7B-Instruct-v1.1   OpenLLM-France/Lucie-7B-Instruct-human-data   jpacifico/Lucie-7B-Instruct-DPO-v1.1
Merged ModelYes
Model Size7b
Required VRAM13.4 GB
Updated2025-03-03
Maintainerjpacifico
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.5 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length32000
Model Max Length32000
Transformers Version4.48.2
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 jpacifico/Lucie-7B-Instruct-Merged-Model_Stock-v1.0.

Rank the Lucie 7B Instruct Merged Model Stock V1.0 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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