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Phi 3 Mini 4K Instruct by Xenova

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Phi 3 Mini 4K Instruct is an open-source language model by Xenova. Features: LLM, Context: 4K, License: mit, Instruction-Based, LLM Explorer Score: 0.15.

  Conversational   Dml   Instruct   Onnx   Onnxruntime   Phi3   Region:us   Transformers.js
Model Card on HF 🤗: https://huggingface.co/Xenova/Phi-3-mini-4k-instruct 

Phi 3 Mini 4K Instruct Benchmarks

LLME Score: 0.14997
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 (Xenova/Phi-3-mini-4k-instruct)
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Phi 3 Mini 4K Instruct Parameters and Internals

Model Type 
text-generation
Additional Notes 
This is a version of the official phi3 onnx model with modifications for onnxruntime-web, including fp16 with int4 block quantization for weights, output in fp32, and using MHA instead of GQA. The onnx and external data file requirements are to be below 2GB for chromium caching.
LLM NamePhi 3 Mini 4K Instruct
Repository 🤗https://huggingface.co/Xenova/Phi-3-mini-4k-instruct 
Updated2025-10-01
MaintainerXenova
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

Best Alternatives to Phi 3 Mini 4K Instruct

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Context / RAM
Downloads
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Phi 4 Mini Instruct128K / 7.7 GB637798706
Phi 3 Mini 128K Instruct128K / 7.7 GB2490791697
Phi 3 Medium 128K Instruct128K / 28 GB5878387
Phi 4 Mini Instruct ONNX GQA128K /  GB365
Phi 3.5 Mini Instruct Onnx Web128K /  GB57815
Phi 3.5 Mini Instruct Onnx128K /  GB10837
Phi 3 Mini 128K Instruct Onnx128K /  GB97192
...i 3 Mini 128K Instruct Ov Int4128K / 2 GB50
...Medium 128K Instruct Onnx Cuda128K /  GB2723
... Medium 128K Instruct Onnx Cpu128K /  GB3913
Note: green Score (e.g. "73.2") means that the model is better than Xenova/Phi-3-mini-4k-instruct.

Rank the Phi 3 Mini 4K Instruct 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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