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Gemma 2 27B It SimPO 37K by AALF

 »  All LLMs  »  AALF  »  Gemma 2 27B It SimPO 37K   URL Share it on

  3930   
  Arxiv:2310.01377   Arxiv:2405.14734   Alignment-handbook   Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-2-27b-...   Conversational   Endpoints compatible   Gemma2   Generated from trainer   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/AALF/gemma-2-27b-it-SimPO-37K 

Gemma 2 27B It SimPO 37K Benchmarks

MMLU Pro: 10.79
GPQA: 4.03
MUSR: 1.6
BBH: 15.31
IFEval: 24.07 vs 88 (so35)-72.6%
MATH Lvl 5: 1.28
LLME Score: 0.27683
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2 27B It SimPO 37K (AALF/gemma-2-27b-it-SimPO-37K)

Gemma 2 27B It SimPO 37K Parameters and Internals

Model Type 
text generation
Additional Notes 
Model training was done using the alignment-handbook library.
Training Details 
Data Sources:
HuggingFaceH4/ultrafeedback_binarized
Data Volume:
37,040 training data points
Methodology:
SimPO framework with On-Policy Preference Data Generation
Context Length:
2048
Hardware Used:
8x80G A800 GPUs
LLM NameGemma 2 27B It SimPO 37K
Repository 🤗https://huggingface.co/AALF/gemma-2-27b-it-SimPO-37K 
Base Model(s)  Gemma 2 27B It   google/gemma-2-27b-it
Model Size27b
Required VRAM54.7 GB
Updated2025-02-22
MaintainerAALF
Model Typegemma2
Model Files  4.7 GB: 1-of-12   4.9 GB: 2-of-12   4.9 GB: 3-of-12   5.0 GB: 4-of-12   4.9 GB: 5-of-12   4.9 GB: 6-of-12   5.0 GB: 7-of-12   4.9 GB: 8-of-12   4.9 GB: 9-of-12   5.0 GB: 10-of-12   4.9 GB: 11-of-12   0.7 GB: 12-of-12
Model ArchitectureGemma2ForCausalLM
Licensegemma
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 AALF/gemma-2-27b-it-SimPO-37K.

Rank the Gemma 2 27B It SimPO 37K Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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