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Gemma 2 9B It WPO HB by wzhouad

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  Arxiv:2406.11827   Alignment-handbook   Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-2-9b-i...   Conversational Dataset:wzhouad/gemma-2-ultraf...   Endpoints compatible   Gemma   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/wzhouad/gemma-2-9b-it-WPO-HB 

Gemma 2 9B It WPO HB Benchmarks

MMLU Pro: 26.22
GPQA: 13.31
MUSR: 3.97
BBH: 36.66
IFEval: 54.37 vs 88 (so35)-38.2%
LLME Score: 0.28455
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2 9B It WPO HB (wzhouad/gemma-2-9b-it-WPO-HB)

Gemma 2 9B It WPO HB Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
openbmb/UltraFeedback, ULHFlow/ArmoRM-Llama3-8B-v0.1
Methodology:
Weighted Preference Optimization (WPO) by hybrid WPO
Context Length:
2048
LLM NameGemma 2 9B It WPO HB
Repository 🤗https://huggingface.co/wzhouad/gemma-2-9b-it-WPO-HB 
Base Model(s)  Gemma 2 9B It   google/gemma-2-9b-it
Model Size9b
Required VRAM37.1 GB
Updated2025-01-23
Maintainerwzhouad
Model Typegemma2
Model Files  4.8 GB: 1-of-8   5.0 GB: 2-of-8   5.0 GB: 3-of-8   4.9 GB: 4-of-8   5.0 GB: 5-of-8   5.0 GB: 6-of-8   5.0 GB: 7-of-8   2.4 GB: 8-of-8
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.43.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than wzhouad/gemma-2-9b-it-WPO-HB.

Rank the Gemma 2 9B It WPO HB 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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