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ECE EIFFEL 3Bv3 by lesubra

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Model Card on HF 🤗: https://huggingface.co/lesubra/ECE-EIFFEL-3Bv3 

ECE EIFFEL 3Bv3 Benchmarks

MMLU Pro: 33.06
GPQA: 10.63
MUSR: 18.31
BBH: 36.46
IFEval: 37.86 vs 88 (so35)-57%
MATH Lvl 5: 15.71
LLME Score: 0.32084
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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ECE EIFFEL 3Bv3 Parameters and Internals

LLM NameECE EIFFEL 3Bv3
Repository 🤗https://huggingface.co/lesubra/ECE-EIFFEL-3Bv3 
Merged ModelYes
Model Size3b
Required VRAM7.7 GB
Updated2024-12-02
Maintainerlesubra
Model Typephi3
Instruction-BasedYes
Model Files  1.0 GB: 1-of-9   1.0 GB: 2-of-9   1.0 GB: 3-of-9   0.9 GB: 4-of-9   0.9 GB: 5-of-9   0.9 GB: 6-of-9   0.9 GB: 7-of-9   0.9 GB: 8-of-9   0.2 GB: 9-of-9
Model ArchitecturePhi3ForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16
ECE EIFFEL 3Bv3 (lesubra/ECE-EIFFEL-3Bv3)

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...ocolatine 3B Instruct DPO V1.04K / 7.7 GB7263
ECE PRYMMAL 3B SLERP V14K / 7.7 GB50
Note: green Score (e.g. "73.2") means that the model is better than lesubra/ECE-EIFFEL-3Bv3.

Rank the ECE EIFFEL 3Bv3 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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