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Gemma 2 2B Instruct by vicky4s4s

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  72   
  Arxiv:1705.03551   Arxiv:1804.06876   Arxiv:1804.09301   Arxiv:1809.02789   Arxiv:1811.00937   Arxiv:1903.00161   Arxiv:1904.09728   Arxiv:1905.07830   Arxiv:1905.10044   Arxiv:1907.10641   Arxiv:1911.01547   Arxiv:1911.11641   Arxiv:2009.03300   Arxiv:2009.11462   Arxiv:2101.11718   Arxiv:2103.03874   Arxiv:2107.03374   Arxiv:2108.07732   Arxiv:2109.07958   Arxiv:2110.08193   Arxiv:2110.14168   Arxiv:2203.09509   Arxiv:2206.04615   Arxiv:2304.06364   Arxiv:2403.13793   Autotrain compatible Base model:finetune:google/gem...   Base model:google/gemma-2-2b   Conversational   Endpoints compatible   Gemma2   Instruct   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/vicky4s4s/gemma-2-2b-instruct 

Gemma 2 2B Instruct Benchmarks

LLME Score: 0.22539
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 Instruct (vicky4s4s/gemma-2-2b-instruct)
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Gemma 2 2B Instruct Parameters and Internals

LLM NameGemma 2 2B Instruct
Repository 🤗https://huggingface.co/vicky4s4s/gemma-2-2b-instruct 
Base Model(s)  Gemma 2 2B   google/gemma-2-2b
Model Size2b
Required VRAM5.2 GB
Updated2025-07-02
Maintainervicky4s4s
Model Typegemma2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   0.2 GB: 2-of-2
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.42.4
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 vicky4s4s/gemma-2-2b-instruct.

Rank the Gemma 2 2B Instruct Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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