Empty Phi 3 Mini by rwitz2

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Empty Phi 3 Mini Benchmarks

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

Empty Phi 3 Mini Parameters and Internals

LLM NameEmpty Phi 3 Mini
Repository ๐Ÿค—https://huggingface.co/rwitz2/empty-phi-3-mini 
Model Size3.8b
Required VRAM7.6 GB
Updated2024-09-06
Maintainerrwitz2
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typebfloat16
Empty Phi 3 Mini (rwitz2/empty-phi-3-mini)

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Note: green Score (e.g. "73.2") means that the model is better than rwitz2/empty-phi-3-mini.

Rank the Empty Phi 3 Mini 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