EZO Common 9B Gemma 2 It by HODACHI

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  Autotrain compatible   Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow

EZO Common 9B Gemma 2 It Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EZO Common 9B Gemma 2 It (AXCXEPT/EZO-Common-9B-gemma-2-it)

EZO Common 9B Gemma 2 It Parameters and Internals

Model Type 
text-generation, conversational
Use Cases 
Areas:
Global applications prioritizing Japanese tasks
Applications:
Research, Development,
Primary Use Cases:
Text generation, Conversational interactions
Limitations:
Experimental prototype, Not intended for commercial use or mission-critical deployment
Considerations:
Model use is at the operator's own risk
Additional Notes 
Provided as a research and development-focused model.
Supported Languages 
languages (Japanese, various), proficiency (High in Japanese, suitable for diverse languages)
Training Details 
Data Sources:
Japanese Wikipedia, FineWeb
Data Volume:
High-quality extracted data
Methodology:
Plain instruction tuning
Training Time:
32h
Hardware Used:
A100 ร— 4
Model Architecture:
Causal Language Model
Input Output 
Input Format:
Chat-based inputs
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Enhance with specified tuning techniques
LLM NameEZO Common 9B Gemma 2 It
Repository ๐Ÿค—https://huggingface.co/AXCXEPT/EZO-Common-9B-gemma-2-it 
Model Size9b
Required VRAM18.6 GB
Updated2025-02-05
MaintainerHODACHI
Model Typegemma2
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.7 GB: 4-of-4
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.42.3
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 AXCXEPT/EZO-Common-9B-gemma-2-it.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227