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Phi 3 Context Obedient RAG by TroyDoesAI

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Phi 3 Context Obedient RAG Benchmarks

LLME Score: 0.23678
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 Parameters and Internals

LLM NamePhi 3 Context Obedient RAG
Repository 🤗https://huggingface.co/TroyDoesAI/Phi-3-Context-Obedient-RAG 
Model Size3.8b
Required VRAM7.7 GB
Updated2024-09-07
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
Phi 3 Context Obedient RAG (TroyDoesAI/Phi-3-Context-Obedient-RAG)

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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