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Gemma 2 2B It by google

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  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   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/google/gemma-2-2b-it 

Gemma 2 2B It Benchmarks

MMLU Pro: 17.22
GPQA: 3.24
MUSR: 7.08
BBH: 17.98
IFEval: 56.68 vs 88 (so35)-35.6%
MATH Lvl 5: 0.08
LLME Score: 0.37642
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 It (google/gemma-2-2b-it)
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Gemma 2 2B It Parameters and Internals

Model Type 
text-to-text, decoder-only, large language model
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Text Generation, Chatbots, Text Summarization
Primary Use Cases:
Language generation, Conversational AI
Limitations:
Bias and Fairness, Factual Accuracy, Common Sense Reasoning
Supported Languages 
english (fluent)
Training Details 
Data Sources:
Web Documents, Code, Mathematics
Data Volume:
2 trillion tokens
Safety Evaluation 
Methodologies:
Red-teaming
Risk Categories:
Child sexual abuse, Harassment, Violence and gore, Hate speech
Responsible Ai Considerations 
Fairness:
Models underwent careful scrutiny, input data pre-processing, and evaluations for bias and fairness.
Transparency:
Model card provides details on architecture, capabilities, limitations, and evaluations.
Accountability:
Accountability lies with Google for model outputs.
Mitigation Strategies:
De-biasing techniques, content safety safeguards, user flagging system for misuse.
Input Output 
Input Format:
Text string (e.g., questions or prompts)
Accepted Modalities:
text
Output Format:
Generated English-language text
Performance Tips:
Use appropriate prompt for best performance.
LLM NameGemma 2 2B It
Repository 🤗https://huggingface.co/google/gemma-2-2b-it 
Base Model(s)  Gemma 2 2B   google/gemma-2-2b
Model Size2b
Required VRAM5.2 GB
Updated2025-01-29
Maintainergoogle
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 Version4.42.4
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

Quantized Models of the Gemma 2 2B It

Model
Likes
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VRAM
Gemma 2 2B It GGUF13668190 GB
Gemma 2 2B Fa4455 GB
Gemma 2 2B Jpn It 4bit3101 GB

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Rank the Gemma 2 2B It 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 v20241124
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