Phi 3 Context Obedient RAG GGUF by MaziyarPanahi

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Phi 3 Context Obedient RAG GGUF is an open-source language model by MaziyarPanahi. Features: LLM, VRAM: 1.4GB, Quantized, LLM Explorer Score: 0.14.

  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:quantized:troydoesa... Base model:troydoesai/phi-3-co...   Conversational   Custom code   Endpoints compatible   Gguf   Mistral   Phi3   Quantized   Region:us   Safetensors

Phi 3 Context Obedient RAG GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Context Obedient RAG GGUF (MaziyarPanahi/Phi-3-Context-Obedient-RAG-GGUF)
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Phi 3 Context Obedient RAG GGUF Parameters and Internals

Model Type 
text-generation
LLM NamePhi 3 Context Obedient RAG GGUF
Repository ๐Ÿค—https://huggingface.co/MaziyarPanahi/Phi-3-Context-Obedient-RAG-GGUF 
Model NamePhi-3-Context-Obedient-RAG-GGUF
Model CreatorTroyDoesAI
Base Model(s)  Phi 3 Context Obedient RAG   TroyDoesAI/Phi-3-Context-Obedient-RAG
Required VRAM1.4 GB
Updated2026-03-29
MaintainerMaziyarPanahi
Model Typemistral
Model Files  1.4 GB   2.1 GB   2.0 GB   1.7 GB   2.4 GB   2.2 GB   2.8 GB   2.6 GB   3.1 GB   4.1 GB   7.6 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Phi-3-Context-Obedient-RAG-GGUF.

Rank the Phi 3 Context Obedient RAG 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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Release v20260328a