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Gemma 7B ColdBrew RP by SvalTek

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  Autotrain compatible Base model:finetune:ilyagusev/... Base model:ilyagusev/gemma-2-9...   Conversational   En   Endpoints compatible   Gemma2   Pytorch   Region:us   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/SvalTek/Gemma-7B-ColdBrew-RP 

Gemma 7B ColdBrew RP Benchmarks

LLME Score: 0.21013
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 7B ColdBrew RP (SvalTek/Gemma-7B-ColdBrew-RP)

Gemma 7B ColdBrew RP Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
Trained using Unsloth and Huggingface's TRL library, achieving 2x faster training.
Supported Languages 
en ()
LLM NameGemma 7B ColdBrew RP
Repository 🤗https://huggingface.co/SvalTek/Gemma-7B-ColdBrew-RP 
Base Model(s)  Gemma 2 9B It Abliterated   IlyaGusev/gemma-2-9b-it-abliterated
Model Size9b
Required VRAM18.6 GB
Updated2025-01-15
MaintainerSvalTek
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 Version4.43.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than SvalTek/Gemma-7B-ColdBrew-RP.

Rank the Gemma 7B ColdBrew RP 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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