Phi 3 Mini 4K Instruct Onnx by microsoft

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  Arxiv:2306.00978   Autotrain compatible   Conversational   Custom code   Dml   Instruct   Onnx   Onnxruntime   Phi3   Region:us

Phi 3 Mini 4K Instruct Onnx 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 Mini 4K Instruct Onnx (microsoft/Phi-3-mini-4k-instruct-onnx)

Phi 3 Mini 4K Instruct Onnx Parameters and Internals

Model Type 
ONNX
Additional Notes 
Phi-3 Mini is optimized for ONNX Runtime to accelerate inference on CPU and GPU and tested across diverse platforms.
Supported Languages 
Python (full), C (full), C++ (full)
Training Details 
Data Sources:
synthetic data, filtered websites
Methodology:
Supervised fine-tuning and direct preference optimization
Context Length:
4096
Hardware Used:
RTX 4090 (DirectML), 1 A100 80GB GPU, Standard_ND96amsr_A100_v4, Standard F64s v2, Samsung Galaxy S21
LLM NamePhi 3 Mini 4K Instruct Onnx
Repository ๐Ÿค—https://huggingface.co/microsoft/Phi-3-mini-4k-instruct-onnx 
Updated2025-02-22
Maintainermicrosoft
Model Typephi3
Instruction-BasedYes
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.39.3
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than microsoft/Phi-3-mini-4k-instruct-onnx.

Rank the Phi 3 Mini 4K Instruct Onnx 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