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Gemma2b Full Ft Dare by sarthak-nik

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Gemma2b Full Ft Dare is an open-source language model by sarthak-nik. Features: 2b LLM, VRAM: 5.3GB, Context: 8K, LLM Explorer Score: 0.19.

  Arxiv:2311.03099 Base model:google/gemma-2-2b-i... Base model:merge:google/gemma-... Base model:merge:sarthak-nik/g... Base model:sarthak-nik/gemma2b...   Conversational   Endpoints compatible   Gemma2   Merge   Mergekit   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sarthak-nik/gemma2b_full_ft_dare 

Gemma2b Full Ft Dare Benchmarks

LLME Score: 0.18555
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma2b Full Ft Dare (sarthak-nik/gemma2b_full_ft_dare)
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Gemma2b Full Ft Dare Parameters and Internals

LLM NameGemma2b Full Ft Dare
Repository 🤗https://huggingface.co/sarthak-nik/gemma2b_full_ft_dare 
Base Model(s)  Gemma 2 2B It   sarthak-nik/gemma2b_full_ft   google/gemma-2-2b-it   sarthak-nik/gemma2b_full_ft
Model Size2b
Required VRAM5.3 GB
Updated2026-04-24
Maintainersarthak-nik
Model Typegemma2
Model Files  5.0 GB: 1-of-2   0.3 GB: 2-of-2
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.47.0
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 sarthak-nik/gemma2b_full_ft_dare.

Rank the Gemma2b Full Ft Dare 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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