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L3 Arcania 4x8b by Steelskull

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Model Card on HF 🤗: https://huggingface.co/Steelskull/L3-Arcania-4x8b 

L3 Arcania 4x8b Benchmarks

ARC: 62.12 vs 96.7 (so35)-35.8%
HellaSwag: 82.72 vs 95.3 (gpt4)-13.2%
MMLU: 66.86 vs 88.3 (so35)-24.3%
TruthfulQA: 53.09 vs 59 (gpt4)-10%
WinoGrande: 77.9 vs 87.5 (gpt4)-11%
GSM8K: 62.55 vs 96.4 (so35)-35.1%
LLME Score: 0.2267
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L3 Arcania 4x8b (Steelskull/L3-Arcania-4x8b)

L3 Arcania 4x8b Parameters and Internals

LLM NameL3 Arcania 4x8b
Repository 🤗https://huggingface.co/Steelskull/L3-Arcania-4x8b 
Model Size24.9b
Required VRAM50 GB
Updated2024-12-22
MaintainerSteelskull
Model Typemixtral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-5   10.0 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   10.0 GB: 5-of-5
Model ArchitectureMixtralForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|begin_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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L3.1 MoE 4x8B V0.2128K / 50.1 GB352
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Llama 3 8B Instruct MoE 28K / 50 GB110
Llama 3 4x8B8K / 49.9 GB130
Note: green Score (e.g. "73.2") means that the model is better than Steelskull/L3-Arcania-4x8b.

Rank the L3 Arcania 4x8b 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 v20241217
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