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MoE Llama3 8bx2 Rag by S-miguel

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Model Card on HF 🤗: https://huggingface.co/S-miguel/Moe_llama3_8bx2_Rag 

MoE Llama3 8bx2 Rag Benchmarks

LLME Score: 0.15797
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MoE Llama3 8bx2 Rag (S-miguel/Moe_llama3_8bx2_Rag)
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MoE Llama3 8bx2 Rag Parameters and Internals

LLM NameMoE Llama3 8bx2 Rag
Repository 🤗https://huggingface.co/S-miguel/Moe_llama3_8bx2_Rag 
Model Size13.7b
Required VRAM27.3 GB
Updated2025-09-23
MaintainerS-miguel
Model Typemixtral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.9 GB: 5-of-6   2.5 GB: 6-of-6
Model ArchitectureMixtralForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than S-miguel/Moe_llama3_8bx2_Rag.

Rank the MoE Llama3 8bx2 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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