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Gemma2 Nephilim V3 9B by grimjim

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  Merged Model   Autotrain compatible Base model:princeton-nlp/gemma... Base model:ucla-agi/gemma-2-9b...   Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/grimjim/Gemma2-Nephilim-v3-9B 

Gemma2 Nephilim V3 9B Benchmarks

LLME Score: 0.20616
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma2 Nephilim V3 9B (grimjim/Gemma2-Nephilim-v3-9B)

Gemma2 Nephilim V3 9B Parameters and Internals

Model Type 
text-generation
Use Cases 
Considerations:
Though none of the components of this merge were trained for roleplay nor intended for it, the model can be used effectively in that role.
Additional Notes 
This repo contains a merge of pre-trained language models created using mergekit. The model leans toward being creative, so adjust temperature upward or downward as desired.
LLM NameGemma2 Nephilim V3 9B
Repository 🤗https://huggingface.co/grimjim/Gemma2-Nephilim-v3-9B 
Base Model(s)  Gemma 2 9B It SPPO Iter3   Gemma 2 9B It SimPO   UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3   princeton-nlp/gemma-2-9b-it-SimPO
Merged ModelYes
Model Size9b
Required VRAM18.5 GB
Updated2025-02-05
Maintainergrimjim
Model Typegemma2
Model Files  3.1 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
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.43.3
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 grimjim/Gemma2-Nephilim-v3-9B.

Rank the Gemma2 Nephilim V3 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 v20241227
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