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Gemma 2 Baku 2B It by rinna

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Gemma 2 Baku 2B It is an open-source language model by rinna. Features: 2b LLM, VRAM: 10.5GB, Context: 8K, License: gemma, LLM Explorer Score: 0.16.

  Arxiv:2310.04799   Arxiv:2403.07691   Arxiv:2404.01657   Base model:google/gemma-2-2b Base model:google/gemma-2-2b-i... Base model:merge:google/gemma-... Base model:merge:google/gemma-... Base model:merge:rinna/gemma-2... Base model:rinna/gemma-2-baku-...   Conversational   Endpoints compatible   Gemma2   Ja   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rinna/gemma-2-baku-2b-it 

Gemma 2 Baku 2B It Benchmarks

LLME Score: 0.15792
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2 Baku 2B It (rinna/gemma-2-baku-2b-it)
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Gemma 2 Baku 2B It Parameters and Internals

Model Type 
text generation
Supported Languages 
ja (native), en (second-language)
Training Details 
Data Sources:
rinna's internal dataset
Methodology:
Model merging using Chat Vector and Odds Ratio Preference Optimization (ORPO) for fine-tuning.
Model Architecture:
26-layer, 2304-hidden-size transformer-based
Input Output 
Accepted Modalities:
text
Performance Tips:
Use eager attention for batch inference under bfloat16 precision to avoid NaN values.
LLM NameGemma 2 Baku 2B It
Repository 🤗https://huggingface.co/rinna/gemma-2-baku-2b-it 
Base Model(s)  Gemma 2 2B   Gemma 2 2B It   Gemma 2 Baku 2B   google/gemma-2-2b   google/gemma-2-2b-it   rinna/gemma-2-baku-2b
Model Size2b
Required VRAM10.5 GB
Updated2026-05-03
Maintainerrinna
Model Typegemma2
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   0.5 GB: 3-of-3
Supported Languagesja
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.44.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than rinna/gemma-2-baku-2b-it.

Rank the Gemma 2 Baku 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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