Phi 3 Taiwan Election by wenlianghuang

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Custom code   Endpoints compatible   Instruct   Phi3   Region:us   Safetensors   Sharded   Tensorflow

Phi 3 Taiwan Election Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Taiwan Election (wenlianghuang/phi-3-Taiwan-election)

Phi 3 Taiwan Election Parameters and Internals

LLM NamePhi 3 Taiwan Election
Repository ๐Ÿค—https://huggingface.co/wenlianghuang/phi-3-Taiwan-election 
Model Size3.8b
Required VRAM7.7 GB
Updated2024-11-05
Maintainerwenlianghuang
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2
Model ArchitecturePhi3ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than wenlianghuang/phi-3-Taiwan-election.

Rank the Phi 3 Taiwan Election 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 v20241227