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WestLakeMultiverse 12B MoE by allknowingroger

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Allknowingroger/multiverseex26...   Autotrain compatible Base model:allknowingroger/mul... Base model:merge:allknowingrog... Base model:merge:senseable/wes... Base model:senseable/westlake-...   Endpoints compatible   Frankenmoe   Lazymergekit   Merge   Mergekit   Mixtral   Moe   Region:us   Safetensors   Senseable/westlake-7b-v2   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/allknowingroger/WestLakeMultiverse-12B-MoE 

WestLakeMultiverse 12B MoE Benchmarks

ARC: 73.89 vs 96.7 (so35)-23.6%
HellaSwag: 89.13 vs 95.3 (gpt4)-6.5%
MMLU: 64.44 vs 88.3 (so35)-27%
TruthfulQA: 75.01 vs 59 (gpt4)27.1%
WinoGrande: 86.27 vs 87.5 (gpt4)-1.4%
GSM8K: 68.01 vs 96.4 (so35)-29.5%
LLME Score: 0.15129
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WestLakeMultiverse 12B MoE (allknowingroger/WestLakeMultiverse-12B-MoE)
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WestLakeMultiverse 12B MoE Parameters and Internals

Model Type 
mixture of experts
Additional Notes 
WestLakeMultiverse-12B-MoE is created using LazyMergekit.
LLM NameWestLakeMultiverse 12B MoE
Repository 🤗https://huggingface.co/allknowingroger/WestLakeMultiverse-12B-MoE 
Base Model(s)  MultiverseEx26 7B Slerp   WestLake 7B V2   allknowingroger/MultiverseEx26-7B-slerp   senseable/WestLake-7B-v2
Model Size7b
Required VRAM25.8 GB
Updated2025-09-23
Maintainerallknowingroger
Model Typemixtral
Model Files  1.9 GB: 1-of-13   2.0 GB: 2-of-13   2.0 GB: 3-of-13   2.0 GB: 4-of-13   2.0 GB: 5-of-13   2.0 GB: 6-of-13   2.0 GB: 7-of-13   2.0 GB: 8-of-13   2.0 GB: 9-of-13   2.0 GB: 10-of-13   2.0 GB: 11-of-13   2.0 GB: 12-of-13   1.9 GB: 13-of-13
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than allknowingroger/WestLakeMultiverse-12B-MoE.

Rank the WestLakeMultiverse 12B 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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