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Phi 3 Vision 128K Instruct Onnx Directml by microsoft

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  Autotrain compatible   Custom code   Dml   Instruct   Onnx   Onnxruntime   Phi3   Phi3 v   Region:us   Vision
Model Card on HF 🤗: https://huggingface.co/microsoft/Phi-3-vision-128k-instruct-onnx-directml 

Phi 3 Vision 128K Instruct Onnx Directml Benchmarks

LLME Score: 0.20167
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Vision 128K Instruct Onnx Directml (microsoft/Phi-3-vision-128k-instruct-onnx-directml)

Phi 3 Vision 128K Instruct Onnx Directml Parameters and Internals

Model Type 
ONNX
Use Cases 
Areas:
commercial, research
Applications:
general purpose AI systems, applications with visual and text input, image understanding, OCR, chart and table understanding
Primary Use Cases:
memory/compute constrained environments, latency bound scenarios
Considerations:
Common limitations of language models should be considered, especially for high-risk scenarios.
Supported Languages 
Python (partial), C (partial), C++ (partial)
LLM NamePhi 3 Vision 128K Instruct Onnx Directml
Repository 🤗https://huggingface.co/microsoft/Phi-3-vision-128k-instruct-onnx-directml 
Updated2024-12-26
Maintainermicrosoft
Model Typephi3_v
Instruction-BasedYes
Model ArchitecturePhi3VForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.38.1
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-vision-128k-instruct-onnx-directml.

Rank the Phi 3 Vision 128K Instruct Onnx Directml 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
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