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Recoilme Gemma 2 9B V0.3 by recoilme

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  Merged Model   Gemma2   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/recoilme/recoilme-gemma-2-9B-v0.3 

Recoilme Gemma 2 9B V0.3 Benchmarks

MMLU Pro: 33.77
GPQA: 11.63
MUSR: 17.04
BBH: 43.33
IFEval: 57.61 vs 88 (so35)-34.5%
MATH Lvl 5: 17.3
LLME Score: 0.36492
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Recoilme Gemma 2 9B V0.3 (recoilme/recoilme-gemma-2-9B-v0.3)

Recoilme Gemma 2 9B V0.3 Parameters and Internals

Model Type 
text-generation
LLM NameRecoilme Gemma 2 9B V0.3
Repository 🤗https://huggingface.co/recoilme/recoilme-gemma-2-9B-v0.3 
Merged ModelYes
Model Size9b
Required VRAM20.4 GB
Updated2024-12-22
Maintainerrecoilme
Model Typegemma2
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   5.0 GB: 4-of-5   0.5 GB: 5-of-5
Model ArchitectureGemma2ForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.44.2
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 recoilme/recoilme-gemma-2-9B-v0.3.

Rank the Recoilme Gemma 2 9B V0.3 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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Release v20241217
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