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Phi 3 Vision 128K Instruct Onnx Cuda 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-cuda 

Phi 3 Vision 128K Instruct Onnx Cuda Benchmarks

LLME Score: 0.15884
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 Cuda (microsoft/Phi-3-vision-128k-instruct-onnx-cuda)
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Phi 3 Vision 128K Instruct Onnx Cuda Parameters and Internals

Model Type 
ONNX
Use Cases 
Areas:
commercial, research
Applications:
general purpose AI systems, visual and text input applications
Primary Use Cases:
memory/compute constrained environments, latency bound scenarios, general image understanding, OCR, chart and table understanding
Considerations:
Our models are not specifically designed or evaluated for all downstream purposes. Developers should consider common limitations of language models as they select use cases, and evaluate and mitigate for accuracy, safety, and fairness before using within a specific downstream use case, particularly for high-risk scenarios. Developers should be aware of and adhere to applicable laws or regulations (including privacy, trade compliance laws, etc.) that are relevant to their use case. Nothing contained in this Model Card should be interpreted as or deemed a restriction or modification to the license the model is released under.
Supported Languages 
Python (High), C (High), C++ (High)
LLM NamePhi 3 Vision 128K Instruct Onnx Cuda
Repository 🤗https://huggingface.co/microsoft/Phi-3-vision-128k-instruct-onnx-cuda 
Updated2025-10-23
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-cuda.

Rank the Phi 3 Vision 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 v20241124
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