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Gemma 2 9B It SPPO Iter1 by UCLA-AGI

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  Arxiv:2405.00675   Autotrain compatible   Conversational   Dataset:openbmb/ultrafeedback   En   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter1 

Gemma 2 9B It SPPO Iter1 Benchmarks

MMLU Pro: 32.3
GPQA: 11.52
MUSR: 10.08
BBH: 41.81
IFEval: 30.82 vs 88 (so35)-65%
LLME Score: 0.31077
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 SPPO Iter1 (UCLA-AGI/Gemma-2-9B-It-SPPO-Iter1)

Gemma 2 9B It SPPO Iter1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Synthetic datasets used for fine-tuning.
Supported Languages 
English (Primary)
Training Details 
Data Sources:
openbmb/UltraFeedback, snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset
Methodology:
Self-Play Preference Optimization
Model Architecture:
GPT-like model
LLM NameGemma 2 9B It SPPO Iter1
Repository 🤗https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter1 
Model Size9b
Required VRAM18.6 GB
Updated2025-02-05
MaintainerUCLA-AGI
Model Typegemma2
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.7 GB: 4-of-4
Supported Languagesen
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.43.0.dev0
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 UCLA-AGI/Gemma-2-9B-It-SPPO-Iter1.

Rank the Gemma 2 9B It SPPO Iter1 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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