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Gemma 2B Data Std by jylee420

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  2500   
  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jylee420/gemma-2b-data-std 

Gemma 2B Data Std Benchmarks

ARC: 37.54 vs 96.7 (so35)-61.2%
HellaSwag: 32.49 vs 95.3 (gpt4)-65.9%
MMLU: 35.82 vs 88.3 (so35)-59.4%
TruthfulQA: 39.56 vs 59 (gpt4)-32.9%
WinoGrande: 61.72 vs 87.5 (gpt4)-29.5%
GSM8K: 0.15 vs 96.4 (so35)-99.8%
LLME Score: 0.25623
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2B Data Std (jylee420/gemma-2b-data-std)

Gemma 2B Data Std Parameters and Internals

Supported Languages 
Korean (trained), English (trained)
Training Details 
Data Volume:
6 million tokens
LLM NameGemma 2B Data Std
Repository 🤗https://huggingface.co/jylee420/gemma-2b-data-std 
Model Size2b
Required VRAM5.1 GB
Updated2024-12-30
Maintainerjylee420
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Model ArchitectureGemmaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.1
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than jylee420/gemma-2b-data-std.

Rank the Gemma 2B Data Std 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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