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ECE PRYMMAL 3B SLERP 2 V2 by lesubra

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Model Card on HF 🤗: https://huggingface.co/lesubra/ECE-PRYMMAL-3B-SLERP_2-V2 

ECE PRYMMAL 3B SLERP 2 V2 Benchmarks

MMLU Pro: 33.22
GPQA: 9.51
MUSR: 18.07
BBH: 35.71
IFEval: 36.64 vs 88 (so35)-58.4%
MATH Lvl 5: 14.8
LLME Score: 0.29971
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ECE PRYMMAL 3B SLERP 2 V2 (lesubra/ECE-PRYMMAL-3B-SLERP_2-V2)

ECE PRYMMAL 3B SLERP 2 V2 Parameters and Internals

LLM NameECE PRYMMAL 3B SLERP 2 V2
Repository 🤗https://huggingface.co/lesubra/ECE-PRYMMAL-3B-SLERP_2-V2 
Merged ModelYes
Model Size3b
Required VRAM7.7 GB
Updated2025-02-05
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 Version4.46.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than lesubra/ECE-PRYMMAL-3B-SLERP_2-V2.

Rank the ECE PRYMMAL 3B SLERP 2 V2 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  
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Multi-Language Support and Translation  

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Release v20241227
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