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Zephyr 7B DPO Full ExPO by chujiezheng

 »  All LLMs  »  chujiezheng  »  Zephyr 7B DPO Full ExPO   URL Share it on

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  Arxiv:2404.16792   Autotrain compatible   Conversational   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/chujiezheng/zephyr-7b-dpo-full-ExPO 

Zephyr 7B DPO Full ExPO Benchmarks

ARC: 62.29 vs 96.7 (so35)-35.6%
HellaSwag: 84.9 vs 95.3 (gpt4)-10.9%
MMLU: 59.01 vs 88.3 (so35)-33.2%
TruthfulQA: 50.08 vs 59 (gpt4)-15.1%
WinoGrande: 76.16 vs 87.5 (gpt4)-13%
GSM8K: 13.95 vs 96.4 (so35)-85.5%
LLME Score: 0.20335
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr 7B DPO Full ExPO (chujiezheng/zephyr-7b-dpo-full-ExPO)

Zephyr 7B DPO Full ExPO Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (Proficient)
LLM NameZephyr 7B DPO Full ExPO
Repository 🤗https://huggingface.co/chujiezheng/zephyr-7b-dpo-full-ExPO 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintainerchujiezheng
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than chujiezheng/zephyr-7b-dpo-full-ExPO.

Rank the Zephyr 7B DPO Full 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 v20241227
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