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Gemma 2B Orpo by anakin87

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  Arxiv:2403.07691   Autotrain compatible Base model:finetune:google/gem...   Base model:google/gemma-2b   Conversational Dataset:alvarobartt/dpo-mix-7k...   En   Endpoints compatible   Gemma   Generated from trainer   Model-index   Orpo   Region:us   Safetensors   Sharded   Tensorflow   Trl

Gemma 2B Orpo Benchmarks

MMLU Pro: 3.4
GPQA: 1.57
MUSR: 4.13
BBH: 7.95
IFEval: 24.78 vs 88 (so35)-71.8%
ARC: 49.15 vs 96.7 (so35)-49.2%
HellaSwag: 73.72 vs 95.3 (gpt4)-22.6%
MMLU: 38.52 vs 88.3 (so35)-56.4%
TruthfulQA: 44.53 vs 59 (gpt4)-24.5%
WinoGrande: 64.33 vs 87.5 (gpt4)-26.5%
GSM8K: 13.87 vs 96.4 (so35)-85.6%
MATH Lvl 5: 1.21
LLME Score: 0.2668
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Gemma 2B Orpo Parameters and Internals

LLM NameGemma 2B Orpo
Repository 🤗https://huggingface.co/anakin87/gemma-2b-orpo 
Base Model(s)  Gemma 2B   google/gemma-2b
Model Size2b
Required VRAM5.1 GB
Updated2024-09-07
Maintaineranakin87
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2   0.0 GB
Supported Languagesen
Model ArchitectureGemmaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.39.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16
Gemma 2B Orpo (anakin87/gemma-2b-orpo)

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Note: green Score (e.g. "73.2") means that the model is better than anakin87/gemma-2b-orpo.

Rank the Gemma 2B Orpo Capabilities

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Release v2024072803
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