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Gemma 2 Full Dare Peft by Utsav03

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Gemma 2 Full Dare Peft is an open-source language model by Utsav03. Features: 2.6b LLM, VRAM: 10.5GB, Context: 8K, Merged, LLM Explorer Score: 0.19.

  Merged Model   Arxiv:1910.09700   Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Utsav03/gemma-2-full-dare-peft 

Gemma 2 Full Dare Peft Benchmarks

LLME Score: 0.18932
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2 Full Dare Peft (Utsav03/gemma-2-full-dare-peft)
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Gemma 2 Full Dare Peft Parameters and Internals

LLM NameGemma 2 Full Dare Peft
Repository 🤗https://huggingface.co/Utsav03/gemma-2-full-dare-peft 
Merged ModelYes
Model Size2.6b
Required VRAM10.5 GB
Updated2026-04-10
MaintainerUtsav03
Model Typegemma2
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   0.5 GB: 3-of-3
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.47.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat32

Best Alternatives to Gemma 2 Full Dare Peft

Best Alternatives
Context / RAM
Downloads
Likes
Test8K / 5.2 GB120
SFT Peft8K / 5.2 GB60
SFT Fft8K / 5.2 GB50
FFT Model Gemma8K / 5.2 GB60
Vera V1.1 Instruct8K / 5.2 GB50
RESTA Sft Dare Full Ft8K / 10.5 GB90
SAFETY PEFT VECTOR8K / 10.5 GB70
SAFETY FULL FT VECTOR8K / 10.5 GB70
Base Tilde Sft Peft Gemma28K / 5.2 GB60
Gemma2 Sft Peft8K / 5.2 GB70
Note: green Score (e.g. "73.2") means that the model is better than Utsav03/gemma-2-full-dare-peft.

Rank the Gemma 2 Full Dare Peft 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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