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MetaModel Moex8 by Xenon1

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Model Card on HF 🤗: https://huggingface.co/Xenon1/MetaModel_moex8 

MetaModel Moex8 Benchmarks

ARC: 71.16 vs 96.7 (so35)-26.4%
HellaSwag: 88.38 vs 95.3 (gpt4)-7.3%
MMLU: 66.29 vs 88.3 (so35)-24.9%
TruthfulQA: 71.91 vs 59 (gpt4)21.9%
WinoGrande: 83.27 vs 87.5 (gpt4)-4.8%
GSM8K: 65.35 vs 96.4 (so35)-32.2%
LLME Score: 0.15469
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MetaModel Moex8 (Xenon1/MetaModel_moex8)
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MetaModel Moex8 Parameters and Internals

Model Type 
moe, merge
Supported Languages 
languages_supported (chinese, arabic, english, german, french), proficiency_level ()
LLM NameMetaModel Moex8
Repository 🤗https://huggingface.co/Xenon1/MetaModel_moex8 
Model Size10.7b
Required VRAM140 GB
Updated2025-09-21
MaintainerXenon1
Model Typemixtral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-15   10.0 GB: 2-of-15   10.0 GB: 3-of-15   10.0 GB: 4-of-15   10.0 GB: 5-of-15   10.0 GB: 6-of-15   10.0 GB: 7-of-15   10.0 GB: 8-of-15   10.0 GB: 9-of-15   10.0 GB: 10-of-15   10.0 GB: 11-of-15   10.0 GB: 12-of-15   10.0 GB: 13-of-15   10.0 GB: 14-of-15   0.1 GB: 15-of-15
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Xenon1/MetaModel_moex8.

Rank the MetaModel Moex8 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241124
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