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Phi 3 Mini 4K Instruct 4bit 64rank by LoftQ

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Phi 3 Mini 4K Instruct 4bit 64rank is an open-source language model by LoftQ. Features: 3.9b LLM, VRAM: 2.4GB, Context: 4K, License: mit, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

  Arxiv:2310.08659   4-bit   4bit   Bitsandbytes   Conversational   Custom code   En   Endpoints compatible   Instruct   Lora   Phi3   Quantization   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/LoftQ/Phi-3-mini-4k-instruct-4bit-64rank 

Phi 3 Mini 4K Instruct 4bit 64rank Benchmarks

LLME Score: 0.12842
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 4bit 64rank (LoftQ/Phi-3-mini-4k-instruct-4bit-64rank)
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Phi 3 Mini 4K Instruct 4bit 64rank Parameters and Internals

Model Type 
text-generation, quantization, LoRA
Supported Languages 
en (high proficiency)
LLM NamePhi 3 Mini 4K Instruct 4bit 64rank
Repository 🤗https://huggingface.co/LoftQ/Phi-3-mini-4k-instruct-4bit-64rank 
Model Size3.9b
Required VRAM2.4 GB
Updated2026-05-26
MaintainerLoftQ
Model Typephi3
Instruction-BasedYes
Model Files  2.4 GB
Supported Languagesen
Quantization Type4bit
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
LoRA ModelYes
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoftQ/Phi-3-mini-4k-instruct-4bit-64rank.

Rank the Phi 3 Mini 4K Instruct 4bit 64rank 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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