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WizardLM 2 8x22B by alpindale

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  9831   
  Arxiv:2304.12244   Arxiv:2306.08568   Arxiv:2308.09583   Autotrain compatible   Conversational   Endpoints compatible   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/alpindale/WizardLM-2-8x22B 

WizardLM 2 8x22B Benchmarks

MMLU Pro: 39.96
GPQA: 17.56
MUSR: 14.54
BBH: 48.58
IFEval: 52.72 vs 88 (so35)-40.1%
MATH Lvl 5: 25
LLME Score: 0.31565
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WizardLM 2 8x22B (alpindale/WizardLM-2-8x22B)
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WizardLM 2 8x22B Parameters and Internals

Model Type 
Mixture of Experts (MoE), text-generation
Supported Languages 
Multilingual (yes)
Training Details 
Model Architecture:
Mixture of Experts (MoE)
Input Output 
Input Format:
multi-turn conversation prompts
LLM NameWizardLM 2 8x22B
Repository 🤗https://huggingface.co/alpindale/WizardLM-2-8x22B 
Model Size140.6b
Required VRAM216.8 GB
Updated2025-09-23
Maintaineralpindale
Model Typemixtral
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Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.36.2
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than alpindale/WizardLM-2-8x22B.

Rank the WizardLM 2 8x22B 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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Release v20241124
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