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Sarashina1 7B by sbintuitions

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  1290   
  Autotrain compatible   Endpoints compatible   Gpt neox   Ja   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/sbintuitions/sarashina1-7b 

Sarashina1 7B Benchmarks

LLME Score: 0.17618
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sarashina1 7B (sbintuitions/sarashina1-7b)
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Sarashina1 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Sarashina1 might generate some meaningless sequences, some inaccurate instances or biased/objectionable outputs.
Supported Languages 
ja (Native)
Training Details 
Data Sources:
Japanese portion of the Common Crawl corpus
Data Volume:
550B tokens
Methodology:
Used CCNet and HojiChar for data cleaning.
Model Architecture:
GPTNeoX
Responsible Ai Considerations 
Fairness:
Sarashina1 has not been tuned to follow instructions yet.
Mitigation Strategies:
Developers should tune models based on human preferences and safety considerations.
Input Output 
Input Format:
raw Japanese sentences
Accepted Modalities:
text
Output Format:
text
LLM NameSarashina1 7B
Repository 🤗https://huggingface.co/sbintuitions/sarashina1-7b 
Model Size7b
Required VRAM13.9 GB
Updated2025-10-03
Maintainersbintuitions
Model Typegpt_neox
Model Files  10.1 GB: 1-of-2   3.8 GB: 2-of-2
Supported Languagesja
Model ArchitectureGPTNeoXForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.30.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size51200
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than sbintuitions/sarashina1-7b.

Rank the Sarashina1 7B 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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