Contextual Obedient MoE 3x8B Llama3 RAG by TroyDoesAI

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Contextual Obedient MoE 3x8B Llama3 RAG Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Contextual Obedient MoE 3x8B Llama3 RAG (TroyDoesAI/Contextual-Obedient-MoE-3x8B-Llama3-RAG)

Contextual Obedient MoE 3x8B Llama3 RAG Parameters and Internals

Model Type 
Question Answering, Instruction Following, Context-Adherence
Use Cases 
Areas:
Research, Retrieval-Augmented Applications
Applications:
Context-Based Question Answering, Data Retrieval Verification
Primary Use Cases:
Improving Accuracy of Responses in RAG Systems, Maintaining Source Referencing in Complex Prompts
Considerations:
Ensure precise formatting to exploit the full capability of context-obedience.
Additional Notes 
The model uses explicit delimiters and annotation to maximize context understanding and reduce hallucinations.
Input Output 
Input Format:
[Contextual-Request: BEGININPUT BEGINCONTEXT [context metadata] ENDCONTEXT [input text] ENDINPUT]
Accepted Modalities:
text
Output Format:
[Contextual Response with Source Referencing]
Performance Tips:
Ensure context and input annotations are correctly formatted for improved adherence.
LLM NameContextual Obedient MoE 3x8B Llama3 RAG
Repository ๐Ÿค—https://huggingface.co/TroyDoesAI/Contextual-Obedient-MoE-3x8B-Llama3-RAG 
Model Size19.3b
Required VRAM38.5 GB
Updated2025-02-22
MaintainerTroyDoesAI
Model Typemixtral
Model Files  4.9 GB: 1-of-8   4.9 GB: 2-of-8   5.0 GB: 3-of-8   4.9 GB: 4-of-8   4.9 GB: 5-of-8   5.0 GB: 6-of-8   4.9 GB: 7-of-8   4.0 GB: 8-of-8
Model ArchitectureMixtralForCausalLM
Licensecc-by-4.0
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TroyDoesAI/Contextual-Obedient-MoE-3x8B-Llama3-RAG.

Rank the Contextual Obedient MoE 3x8B Llama3 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227