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Borea Phi 3.5 Mini Instruct Jp by HODACHI

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  Autotrain compatible   Conversational   Custom code   Endpoints compatible   Instruct   Phi3   Region:us   Safetensors   Sharded   Tensorflow

Borea Phi 3.5 Mini Instruct Jp Benchmarks

LLME Score: 0.28207
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Borea Phi 3.5 Mini Instruct Jp Parameters and Internals

LLM NameBorea Phi 3.5 Mini Instruct Jp
Repository 🤗https://huggingface.co/HODACHI/Borea-Phi-3.5-mini-Instruct-Jp 
Model Size3.8b
Required VRAM7.7 GB
Updated2024-08-23
MaintainerHODACHI
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.43.0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16
Borea Phi 3.5 Mini Instruct Jp (HODACHI/Borea-Phi-3.5-mini-Instruct-Jp)

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Note: green Score (e.g. "73.2") means that the model is better than HODACHI/Borea-Phi-3.5-mini-Instruct-Jp.

Rank the Borea Phi 3.5 Mini Instruct Jp 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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