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Zephyr 7B Gemma DPO Avg by ZHLiu627

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  Arxiv:2405.16436   Dataset:argilla/dpo-mix-7k   Gemma   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ZHLiu627/zephyr-7b-gemma-dpo-avg 

Zephyr 7B Gemma DPO Avg Benchmarks

MMLU Pro: 20.56
GPQA: 3.8
MUSR: 9.81
BBH: 18.4
IFEval: 30.9 vs 88 (so35)-64.9%
MATH Lvl 5: 4.53
LLME Score: 0.28043
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zephyr 7B Gemma DPO Avg (ZHLiu627/zephyr-7b-gemma-dpo-avg)

Zephyr 7B Gemma DPO Avg Parameters and Internals

LLM NameZephyr 7B Gemma DPO Avg
Repository 🤗https://huggingface.co/ZHLiu627/zephyr-7b-gemma-dpo-avg 
Model Size7b
Required VRAM17.1 GB
Updated2025-03-05
MaintainerZHLiu627
Model Typegemma
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.1 GB: 4-of-4
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.43.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ZHLiu627/zephyr-7b-gemma-dpo-avg.

Rank the Zephyr 7B Gemma DPO Avg 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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Release v20241227
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