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EZO Phi 4 V2.900 by AXCXEPT

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  Autotrain compatible Base model:finetune:microsoft/...   Base model:microsoft/phi-4   Conversational   Custom code   Dataset:kuotient/gsm8k-ko Dataset:lilacai/glaive-functio... Dataset:saxo/en ko translation...   Endpoints compatible   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/AXCXEPT/EZO-phi-4-v2_900 

EZO Phi 4 V2.900 Benchmarks

LLME Score: 0.24577
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EZO Phi 4 V2.900 (AXCXEPT/EZO-phi-4-v2_900)

EZO Phi 4 V2.900 Parameters and Internals

LLM NameEZO Phi 4 V2.900
Repository 🤗https://huggingface.co/AXCXEPT/EZO-phi-4-v2_900 
Base Model(s)  Phi 4   microsoft/phi-4
Model Size14.7b
Required VRAM29.4 GB
Updated2025-02-18
MaintainerAXCXEPT
Model Typephi3
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   4.8 GB: 4-of-6   4.8 GB: 5-of-6   5.0 GB: 6-of-6
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length16384
Model Max Length16384
Transformers Version4.48.0
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size100352
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than AXCXEPT/EZO-phi-4-v2_900.

Rank the EZO Phi 4 V2.900 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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