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Phi 3 Mini 4K Instruct.Q4 0.gguf by Jaward

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  2849   
  Arxiv:2404.14219   Autotrain compatible   Conversational   Custom code   Endpoints compatible   Gguf   Instruct   Phi3   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/Jaward/phi-3-mini-4k-instruct.Q4_0.gguf 

Phi 3 Mini 4K Instruct.Q4 0.gguf Benchmarks

LLME Score: 0.1759
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.Q4 0.gguf (Jaward/phi-3-mini-4k-instruct.Q4_0.gguf)
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Phi 3 Mini 4K Instruct.Q4 0.gguf Parameters and Internals

Model Type 
llama-2 architecture
Additional Notes 
4 bits quantized GGUF weight. Not supported by mlx but mlx compatible.
LLM NamePhi 3 Mini 4K Instruct.Q4 0.gguf
Repository 🤗https://huggingface.co/Jaward/phi-3-mini-4k-instruct.Q4_0.gguf 
Required VRAM2.2 GB
Updated2025-09-23
MaintainerJaward
Model Typephi3
Instruction-BasedYes
Model Files  2.2 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.39.3
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Jaward/phi-3-mini-4k-instruct.Q4_0.gguf.

Rank the Phi 3 Mini 4K Instruct.Q4 0.gguf 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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