Phi 3 Medium 128K Instruct Onnx Cuda by microsoft

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Phi 3 Medium 128K Instruct Onnx Cuda 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 Medium 128K Instruct Onnx Cuda (microsoft/Phi-3-medium-128k-instruct-onnx-cuda)

Phi 3 Medium 128K Instruct Onnx Cuda Parameters and Internals

Model Type 
text generation, conversational, nlp
Use Cases 
Areas:
research, commercial applications
Supported Languages 
Python (full proficiency), C (support), C++ (support)
Training Details 
Data Sources:
Phi-3 datasets, synthetic data, filtered publicly available websites
Methodology:
supervised fine-tuning, direct preference optimization
Context Length:
128000
Input Output 
Accepted Modalities:
text
LLM NamePhi 3 Medium 128K Instruct Onnx Cuda
Repository ๐Ÿค—https://huggingface.co/microsoft/Phi-3-medium-128k-instruct-onnx-cuda 
Updated2024-12-22
Maintainermicrosoft
Model Typephi3
Instruction-BasedYes
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
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-medium-128k-instruct-onnx-cuda.

Rank the Phi 3 Medium 128K Instruct Onnx Cuda 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 v20241217