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Phi 3 Context Obedient RAG by TroyDoesAI

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  Autotrain compatible   Conversational   Custom code   Endpoints compatible   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TroyDoesAI/Phi-3-Context-Obedient-RAG 

Phi 3 Context Obedient RAG Benchmarks

LLME Score: 0.16848
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 (TroyDoesAI/Phi-3-Context-Obedient-RAG)
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Phi 3 Context Obedient RAG Parameters and Internals

Additional Notes 
The model is designed to improve context adherence for applications like RAG by using a structured input format.
Input Output 
Input Format:
Special input structure using explicit delimiters for context and instructions.
Performance Tips:
Use explicit delimiters to help the model understand sources and context.
LLM NamePhi 3 Context Obedient RAG
Repository 🤗https://huggingface.co/TroyDoesAI/Phi-3-Context-Obedient-RAG 
Model Size3.8b
Required VRAM7.7 GB
Updated2025-07-01
MaintainerTroyDoesAI
Model Typephi3
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2
Model ArchitecturePhi3ForCausalLM
Licensecc-by-sa-4.0
Context Length131072
Model Max Length131072
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat16

Quantized Models of the Phi 3 Context Obedient RAG

Model
Likes
Downloads
VRAM
...hi 3 Context Obedient RAG GGUF62291 GB

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Phi 3.5 Mini TitanFusion 0.1128K / 7.7 GB170
ECE EIFFEL 3Bv2128K / 7.7 GB50
Note: green Score (e.g. "73.2") means that the model is better than TroyDoesAI/Phi-3-Context-Obedient-RAG.

Rank the Phi 3 Context Obedient RAG 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 v20241124
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