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Gemma 2 2B ArliAI RPMax V1.1 by ArliAI

 »  All LLMs  »  ArliAI  »  Gemma 2 2B ArliAI RPMax V1.1   URL Share it on

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  Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1 

Gemma 2 2B ArliAI RPMax V1.1 Benchmarks

LLME Score: 0.22291
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2 2B ArliAI RPMax V1.1 (ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1)

Gemma 2 2B ArliAI RPMax V1.1 Parameters and Internals

Model Type 
creative writing, role play
Use Cases 
Areas:
creative writing, role play
Primary Use Cases:
highly creative, non-repetitive role play scenarios
Limitations:
training limited to 1 epoch for minimized repetition sickness
Considerations:
Uses a character description prompt format
Training Details 
Methodology:
Trained on diverse set of curated creative writing and RP datasets with focus on variety and deduplication
Context Length:
4096
Training Time:
Less than 1 day on 2x3090Ti
Hardware Used:
2x3090Ti
Input Output 
Input Format:
Gemma Instruct Prompt Format
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use character descriptions in the first turn
LLM NameGemma 2 2B ArliAI RPMax V1.1
Repository 🤗https://huggingface.co/ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1 
Model Size2b
Required VRAM5.2 GB
Updated2025-02-22
MaintainerArliAI
Model Typegemma2
Model Files  5.0 GB: 1-of-2   0.2 GB: 2-of-2
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.45.0.dev0
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 ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1.

Rank the Gemma 2 2B ArliAI RPMax V1.1 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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