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Phi 3 Medium 4K Instruct by unsloth

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Model Card on HF 🤗: https://huggingface.co/unsloth/Phi-3-medium-4k-instruct 

Phi 3 Medium 4K Instruct Benchmarks

ARC: 67.06 vs 96.7 (so35)-30.7%
HellaSwag: 85.69 vs 95.3 (gpt4)-10.1%
MMLU: 77.85 vs 88.3 (so35)-11.8%
TruthfulQA: 57.75 vs 59 (gpt4)-2.1%
WinoGrande: 72.85 vs 87.5 (gpt4)-16.7%
GSM8K: 80.21 vs 96.4 (so35)-16.8%
LLME Score: 0.17621
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Medium 4K Instruct (unsloth/Phi-3-medium-4k-instruct)
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Phi 3 Medium 4K Instruct Parameters and Internals

Model Type 
quantized 4bit model
Use Cases 
Primary Use Cases:
text completion, conversational templates
LLM NamePhi 3 Medium 4K Instruct
Repository 🤗https://huggingface.co/unsloth/Phi-3-medium-4k-instruct 
Model Size14b
Required VRAM28 GB
Updated2025-10-12
Maintainerunsloth
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   3.2 GB: 6-of-6
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.52.4
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/Phi-3-medium-4k-instruct.

Rank the Phi 3 Medium 4K Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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