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WizardLM 2 4x7B MoE by Skylaude

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  Autotrain compatible   Endpoints compatible   Merge   Mergekit   Microsoft/wizardlm-2-7b   Mistral   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE 

WizardLM 2 4x7B MoE Benchmarks

ARC: 63.05 vs 96.7 (so35)-34.8%
HellaSwag: 83.42 vs 95.3 (gpt4)-12.5%
MMLU: 61.75 vs 88.3 (so35)-30.1%
TruthfulQA: 57.02 vs 59 (gpt4)-3.4%
WinoGrande: 73.48 vs 87.5 (gpt4)-16%
GSM8K: 43.52 vs 96.4 (so35)-54.9%
LLME Score: 0.16569
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WizardLM 2 4x7B MoE (Skylaude/WizardLM-2-4x7B-MoE)
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WizardLM 2 4x7B MoE Parameters and Internals

Model Type 
MoE, experimental
Additional Notes 
Quantized versions available for GPU-only, mixed GPU+CPU, or CPU-only inference.
Training Details 
Methodology:
Merges four WizardLM-2-7B models using the random gate mode
Context Length:
8000
Model Architecture:
Mixture of Experts model
Input Output 
Accepted Modalities:
text
Performance Tips:
Set experts per token to 4 for the best results
LLM NameWizardLM 2 4x7B MoE
Repository 🤗https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE 
Model Size24.2b
Required VRAM48.4 GB
Updated2025-09-23
MaintainerSkylaude
Model Typemixtral
Model Files  9.9 GB: 1-of-5   10.0 GB: 2-of-5   9.9 GB: 3-of-5   10.0 GB: 4-of-5   8.6 GB: 5-of-5
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
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 Skylaude/WizardLM-2-4x7B-MoE.

Rank the WizardLM 2 4x7B MoE 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 v20241124
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