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Phi 3 Mini 4K Instruct GGUF by SanctumAI

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Phi 3 Mini 4K Instruct GGUF is an open-source language model by SanctumAI. Features: LLM, VRAM: 1.4GB, License: mit, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

  Code   Conversational   En   Endpoints compatible   Gguf   Instruct   Phi3   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/SanctumAI/Phi-3-mini-4k-instruct-GGUF 

Phi 3 Mini 4K Instruct GGUF Benchmarks

LLME Score: 0.14652
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 GGUF (SanctumAI/Phi-3-mini-4k-instruct-GGUF)
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Phi 3 Mini 4K Instruct GGUF Parameters and Internals

Model Type 
text generation
Additional Notes 
Model quantized by SanctumAI.
Training Details 
Data Sources:
synthetic data, filtered publicly available websites
Methodology:
supervised fine-tuning, direct preference optimization
Context Length:
4000
Input Output 
Input Format:
<|system|> {system_prompt}.<|end|> <|user|> {prompt}<|end|> <|assistant|>
LLM NamePhi 3 Mini 4K Instruct GGUF
Repository 🤗https://huggingface.co/SanctumAI/Phi-3-mini-4k-instruct-GGUF 
Base Model(s)  Phi3AdapterModel   Frinkles/Phi3AdapterModel
Required VRAM1.4 GB
Updated2025-11-19
MaintainerSanctumAI
Model Typephi3
Instruction-BasedYes
Model Files  1.4 GB   2.1 GB   2.0 GB   1.7 GB   2.2 GB   2.4 GB   2.4 GB   2.4 GB   2.2 GB   2.6 GB   2.9 GB   2.8 GB   2.8 GB   2.6 GB   3.1 GB   4.1 GB   7.6 GB   7.6 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensemit

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Spydaz Web AI 0K / 4.4 GB1543
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Phi 3 Mini 4K Instruct0K / 2.3 GB80
Dre Phi Gguf0K / 2.3 GB60
...3 Mini 4k OLScience 4bitQ Gguf0K / 2.3 GB80
...i 3 Mini 4K Instruct V0.3 GGUF0K / 1.4 GB2275
Jenna V01 Gguf Q40K / 2.3 GB80
Note: green Score (e.g. "73.2") means that the model is better than SanctumAI/Phi-3-mini-4k-instruct-GGUF.

Rank the Phi 3 Mini 4K Instruct GGUF 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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