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Sarashina2 7B by sbintuitions

 »  All LLMs  »  sbintuitions  »  Sarashina2 7B   URL Share it on

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  Autotrain compatible   En   Endpoints compatible   Ja   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/sbintuitions/sarashina2-7b 

Sarashina2 7B Benchmarks

LLME Score: 0.2202
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sarashina2 7B (sbintuitions/sarashina2-7b)

Sarashina2 7B Parameters and Internals

Model Type 
text-generation
Use Cases 
Limitations:
May generate meaningless sequences, May produce inaccurate, biased or objectionable outputs
Considerations:
Prior tuning based on human preferences is advised.
Supported Languages 
ja (Japanese), en (English)
Training Details 
Data Sources:
Common Crawl corpus, SlimPajama dataset
Data Volume:
1T tokens for Japanese
Model Architecture:
Llama2
Responsible Ai Considerations 
Mitigation Strategies:
Developers are encouraged to tune models based on human preferences and safety considerations.
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameSarashina2 7B
Repository 🤗https://huggingface.co/sbintuitions/sarashina2-7b 
Model Size7b
Required VRAM14.7 GB
Updated2025-02-22
Maintainersbintuitions
Model Typellama
Model Files  10.0 GB: 1-of-2   4.7 GB: 2-of-2
Supported Languagesja en
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.32.0
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size102400
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than sbintuitions/sarashina2-7b.

Rank the Sarashina2 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 v20241227
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