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

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  Arxiv:2310.08659   4-bit   4bit   Autotrain compatible   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: 0.18602
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)

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 Size2.1b
Required VRAM2.4 GB
Updated2025-02-03
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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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