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Phi 3 Mini 4K Instruct Onnx Web by microsoft

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  Conversational   Custom code   Instruct   Onnx   Onnxruntime   Onnxruntimeweb   Phi3   Region:us   Transformers.js
Model Card on HF 🤗: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct-onnx-web 

Phi 3 Mini 4K Instruct Onnx Web Benchmarks

LLME Score: 0.19973
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 Web (microsoft/Phi-3-mini-4k-instruct-onnx-web)

Phi 3 Mini 4K Instruct Onnx Web Parameters and Internals

Model Type 
ONNX
Additional Notes 
The model is FP16 with INT4 block quantization for weights, logits output is FP32, uses MHA instead of GQA, and the ONNX and external data file need to stay below 2GB to be cacheable in chromium.
LLM NamePhi 3 Mini 4K Instruct Onnx Web
Repository 🤗https://huggingface.co/microsoft/Phi-3-mini-4k-instruct-onnx-web 
Updated2025-02-22
Maintainermicrosoft
Model Typephi3
Instruction-BasedYes
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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Phi 3.5 Mini Instruct Onnx128K /  GB35527
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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-web.

Rank the Phi 3 Mini 4K Instruct Onnx Web 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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Release v20241227
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