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Neos Gemma 2 9B by BlackBeenie

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  Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-2-9b-i...   Conversational   En   Endpoints compatible   Gemma2   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/BlackBeenie/Neos-Gemma-2-9b 

Neos Gemma 2 9B Benchmarks

MMLU Pro: 33.12
GPQA: 9.73
MUSR: 5.79
BBH: 35.64
IFEval: 58.76 vs 88 (so35)-33.2%
MATH Lvl 5: 8.23
LLME Score: 0.34072
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Neos Gemma 2 9B Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (full)
Training Details 
Data Sources:
mlabonne/orpo-dpo-mix-40k
Methodology:
Trained with ORPOTrainer with rsLoRA.
Input Output 
Accepted Modalities:
text
LLM NameNeos Gemma 2 9B
Repository 🤗https://huggingface.co/BlackBeenie/Neos-Gemma-2-9b 
Base Model(s)  Gemma 2 9B It   google/gemma-2-9b-it
Model Size9b
Required VRAM18.6 GB
Updated2024-12-04
MaintainerBlackBeenie
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
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.46.2
Tokenizer ClassGemmaTokenizer
Padding Token<eos>
Vocabulary Size256000
Torch Data Typefloat16
Neos Gemma 2 9B (BlackBeenie/Neos-Gemma-2-9b)

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Note: green Score (e.g. "73.2") means that the model is better than BlackBeenie/Neos-Gemma-2-9b.

Rank the Neos Gemma 2 9B 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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Release v20241124
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