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ArrowSmartPlus 3.6B Instruction by DataPilot

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  Autotrain compatible   Finetuned   Gpt neox   Instruct   Ja   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/DataPilot/ArrowSmartPlus_3.6B_instruction 

ArrowSmartPlus 3.6B Instruction Benchmarks

LLME Score: 0.1742
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ArrowSmartPlus 3.6B Instruction (DataPilot/ArrowSmartPlus_3.6B_instruction)

ArrowSmartPlus 3.6B Instruction Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Education
Applications:
Middle school and high school education
Additional Notes 
Model was fine-tuned using middle and high school content from ใ‚ฆใ‚ฃใ‚ญใƒ–ใƒƒใ‚ฏ and instruction tuning was done using saldra/sakura_japanese_dataset
Supported Languages 
Japanese (High)
Training Details 
Data Sources:
ใ‚ฆใ‚ฃใ‚ญใƒ–ใƒƒใ‚ฏ, saldra/sakura_japanese_dataset
Methodology:
Fine-tuning and Instruction tuning
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameArrowSmartPlus 3.6B Instruction
Repository ๐Ÿค—https://huggingface.co/DataPilot/ArrowSmartPlus_3.6B_instruction 
Model Size3.6b
Required VRAM14.3 GB
Updated2025-02-22
MaintainerDataPilot
Model Typegpt_neox
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.4 GB: 3-of-3
Supported Languagesja
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.38.2
Tokenizer ClassT5Tokenizer
Padding Token</s>
Vocabulary Size51200
Torch Data Typefloat32

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Rank the ArrowSmartPlus 3.6B Instruction 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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