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EZO Llama 3.2 3B Instruct DpoE by AXCXEPT

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Model Card on HF 🤗: https://huggingface.co/AXCXEPT/EZO-Llama-3.2-3B-Instruct-dpoE 

EZO Llama 3.2 3B Instruct DpoE Benchmarks

LLME Score: 0.24171
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EZO Llama 3.2 3B Instruct DpoE (AXCXEPT/EZO-Llama-3.2-3B-Instruct-dpoE)

EZO Llama 3.2 3B Instruct DpoE Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (full proficiency), jp (improved proficiency)
Input Output 
Input Format:
messages list with role and content
Accepted Modalities:
text
Output Format:
generated text
Performance Tips:
Use a powerful GPU for optimal performance.
LLM NameEZO Llama 3.2 3B Instruct DpoE
Repository 🤗https://huggingface.co/AXCXEPT/EZO-Llama-3.2-3B-Instruct-dpoE 
Base Model(s)  meta-llama/Llama-3.2-3B-Instruct   meta-llama/Llama-3.2-3B-Instruct
Model Size3b
Required VRAM6.5 GB
Updated2025-02-22
MaintainerAXCXEPT
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2
Supported Languagesen jp de fr it pt hi es th
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version4.45.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than AXCXEPT/EZO-Llama-3.2-3B-Instruct-dpoE.

Rank the EZO Llama 3.2 3B Instruct DpoE 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 v20241227
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