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LLaMA3 Iterative DPO Final ExPO by chujiezheng

 »  All LLMs  »  chujiezheng  »  LLaMA3 Iterative DPO Final ExPO   URL Share it on

  699   
  Arxiv:2404.16792   Autotrain compatible   Conversational   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/chujiezheng/LLaMA3-iterative-DPO-final-ExPO 

LLaMA3 Iterative DPO Final ExPO Benchmarks

LLME Score: 0.21903
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaMA3 Iterative DPO Final ExPO (chujiezheng/LLaMA3-iterative-DPO-final-ExPO)

LLaMA3 Iterative DPO Final ExPO Parameters and Internals

Model Type 
iterative, extrapolated
Additional Notes 
The ExPO model achieves superior alignment by extrapolating from the SFT and DPO/RLHF checkpoints.
LLM NameLLaMA3 Iterative DPO Final ExPO
Repository 🤗https://huggingface.co/chujiezheng/LLaMA3-iterative-DPO-final-ExPO 
Model Size8b
Required VRAM16.1 GB
Updated2024-12-22
Maintainerchujiezheng
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than chujiezheng/LLaMA3-iterative-DPO-final-ExPO.

Rank the LLaMA3 Iterative DPO Final ExPO 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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