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Multimerge 12B MoE by allknowingroger

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Multimerge 12B MoE is an open-source language model by allknowingroger. Features: 7b LLM, VRAM: 25.8GB, Context: 32K, License: apache-2.0, HF Score: 76.7, LLM Explorer Score: 0.13, Arc: 73, HellaSwag: 89.1, MMLU: 64.4, TruthfulQA: 78, WinoGrande: 84.9, GSM8K: 70.6.

Allknowingroger/limyclown-7b-s... Allknowingroger/multiverseex26...   Autotrain compatible Base model:allknowingroger/lim... Base model:allknowingroger/mul... Base model:merge:allknowingrog... Base model:merge:allknowingrog...   Endpoints compatible   Frankenmoe   Lazymergekit   Merge   Mergekit   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/allknowingroger/Multimerge-12B-MoE 

Multimerge 12B MoE Benchmarks

ARC: 73.04 vs 96.7 (so35)-24.5%
HellaSwag: 89.14 vs 95.3 (gpt4)-6.5%
MMLU: 64.39 vs 88.3 (so35)-27.1%
TruthfulQA: 77.98 vs 59 (gpt4)32.2%
WinoGrande: 84.93 vs 87.5 (gpt4)-2.9%
GSM8K: 70.58 vs 96.4 (so35)-26.8%
LLME Score: 0.13341
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Multimerge 12B MoE (allknowingroger/Multimerge-12B-MoE)
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Multimerge 12B MoE Parameters and Internals

Model Type 
Mixture of Experts (MoE)
Additional Notes 
Multimerge-12B-MoE is created using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing) by merging: * [allknowingroger/MultiverseEx26-7B-slerp](https://huggingface.co/allknowingroger/MultiverseEx26-7B-slerp) * [allknowingroger/limyClown-7B-slerp](https://huggingface.co/allknowingroger/limyClown-7B-slerp)
LLM NameMultimerge 12B MoE
Repository 🤗https://huggingface.co/allknowingroger/Multimerge-12B-MoE 
Base Model(s)  MultiverseEx26 7B Slerp   LimyClown 7B Slerp   allknowingroger/MultiverseEx26-7B-slerp   allknowingroger/limyClown-7B-slerp
Model Size7b
Required VRAM25.8 GB
Updated2025-08-20
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/Multimerge-12B-MoE.

Rank the Multimerge 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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