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Gemma 2 2B Jpn It by google

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  Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-2-2b-i...   Conversational   Endpoints compatible   Gemma2   Ja   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/google/gemma-2-2b-jpn-it 

Gemma 2 2B Jpn It Benchmarks

MMLU Pro: 16.3
GPQA: 3.36
MUSR: 4.93
BBH: 17.85
IFEval: 52.88 vs 88 (so35)-39.9%
LLME Score: 0.40867
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 Jpn It (google/gemma-2-2b-jpn-it)

Gemma 2 2B Jpn It Parameters and Internals

Model Type 
Text-to-text, decoder-only, large language model
Use Cases 
Areas:
Content Creation and Communication, Research and Education
Applications:
Text Generation, Chatbots and Conversational AI, Text Summarization
Primary Use Cases:
Generate creative content, provide conversational interfaces, generate summaries.
Limitations:
Biases or gaps in training data, difficulty with open-ended tasks, language nuances.
Considerations:
Use contexts and guidelines provided for responsible AI usage.
Additional Notes 
Ethical guidelines and transparency in regards to AI use are emphasized.
Supported Languages 
ja (Full)
Training Details 
Data Sources:
Web Documents, Code, Mathematics, Instruction data set
Data Volume:
8 trillion tokens
Hardware Used:
TPUv5p
Model Architecture:
Gemini family
Safety Evaluation 
Methodologies:
Red-teaming
Risk Categories:
Text-to-Text Content Safety, Text-to-Text Representational Harms, Memorization, Large-scale harm
Ethical Considerations:
Bias and fairness monitoring required; mechanisms for content safety suggested.
Responsible Ai Considerations 
Fairness:
Monitor and employ de-biasing techniques.
Transparency:
Model card and detailed architecture provided.
Accountability:
Google is accountable for the architecture.
Mitigation Strategies:
Provide guidelines and educational resources.
Input Output 
Input Format:
Text string, such as a question, a prompt, or a document to be summarized.
Accepted Modalities:
text
Output Format:
Generated Japanese-language text in response to the input.
LLM NameGemma 2 2B Jpn It
Repository 🤗https://huggingface.co/google/gemma-2-2b-jpn-it 
Base Model(s)  Gemma 2 2B It   google/gemma-2-2b-it
Model Size2b
Required VRAM5.2 GB
Updated2024-12-30
Maintainergoogle
Model Typegemma2
Model Files  5.0 GB: 1-of-2   0.2 GB: 2-of-2
Supported Languagesja
Gated ModelYes
Model ArchitectureGemma2ForCausalLM
Licenseproprietary
Context Length8192
Model Max Length8192
Transformers Version4.44.2
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 google/gemma-2-2b-jpn-it.

Rank the Gemma 2 2B Jpn 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 v20241227
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