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Gemma2 Gutenberg Doppel 9B by nbeerbower

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  Autotrain compatible Base model:finetune:ucla-agi/g... Base model:ucla-agi/gemma-2-9b...   Conversational Dataset:jondurbin/gutenberg-dp... Dataset:nbeerbower/gutenberg2-...   Endpoints compatible   Gemma2   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/Gemma2-Gutenberg-Doppel-9B 

Gemma2 Gutenberg Doppel 9B Benchmarks

MMLU Pro: 34.75
GPQA: 10.63
MUSR: 17.3
BBH: 41.08
IFEval: 71.71 vs 88 (so35)-18.5%
MATH Lvl 5: 19.79
LLME Score: 0.31536
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma2 Gutenberg Doppel 9B (nbeerbower/Gemma2-Gutenberg-Doppel-9B)

Gemma2 Gutenberg Doppel 9B Parameters and Internals

Training Details 
Data Sources:
jondurbin/gutenberg-dpo-v0.1, nbeerbower/gutenberg2-dpo
Methodology:
ORPO finetuning
Hardware Used:
2x A40
LLM NameGemma2 Gutenberg Doppel 9B
Repository 🤗https://huggingface.co/nbeerbower/Gemma2-Gutenberg-Doppel-9B 
Base Model(s)  Gemma 2 9B It SPPO Iter3   UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
Model Size9b
Required VRAM18.6 GB
Updated2025-02-22
Maintainernbeerbower
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
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.45.1
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 nbeerbower/Gemma2-Gutenberg-Doppel-9B.

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Release v20241227
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