Phi 3 Mini 128K 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 128K 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 128K Instruct Onnx (microsoft/Phi-3-mini-128k-instruct-onnx)

Phi 3 Mini 128K Instruct Onnx Parameters and Internals

Model Type 
ONNX
Use Cases 
Areas:
research, commercial applications
Applications:
NLP, conversational AI
Primary Use Cases:
instruction adherence, generative AI
Additional Notes 
Prioritize precision suitable for target devices; Acc-level models balance latency vs. accuracy.
Input Output 
Input Format:
ONNX format to run with ONNX Runtime on CPU, GPU, and mobile.
Accepted Modalities:
text
Output Format:
Generative text outputs.
Performance Tips:
Optimized configurations are available for int4 DML, fp16 CUDA, int4 CUDA, CPU, and Mobile.
LLM NamePhi 3 Mini 128K Instruct Onnx
Repository ๐Ÿค—https://huggingface.co/microsoft/Phi-3-mini-128k-instruct-onnx 
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-mini-128k-instruct-onnx.

Rank the Phi 3 Mini 128K 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 v20241217