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MultiMash7 12B Slerp by allknowingroger

 »  All LLMs  »  allknowingroger  »  MultiMash7 12B Slerp   URL Share it on

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  Merged Model Allknowingroger/westlakemultiv...   Autotrain compatible Base model:allknowingroger/wes... Base model:jsfs11/mixtureofmer...   Endpoints compatible   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/allknowingroger/MultiMash7-12B-slerp 

MultiMash7 12B Slerp Benchmarks

MMLU Pro: 22.55
GPQA: 3.8
MUSR: 12.03
BBH: 31.3
IFEval: 42.13 vs 88 (so35)-52.1%
MATH Lvl 5: 6.95
LLME Score: 0.20855
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MultiMash7 12B Slerp (allknowingroger/MultiMash7-12B-slerp)
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MultiMash7 12B Slerp Parameters and Internals

Model Type 
text-generation
LLM NameMultiMash7 12B Slerp
Repository 🤗https://huggingface.co/allknowingroger/MultiMash7-12B-slerp 
Base Model(s)  WestLakeMultiverse 12B MoE   MixtureofMerges MoE 2x7b V6   allknowingroger/WestLakeMultiverse-12B-MoE   jsfs11/MixtureofMerges-MoE-2x7b-v6
Merged ModelYes
Model Size12.9b
Required VRAM25.7 GB
Updated2025-09-22
Maintainerallknowingroger
Model Typemixtral
Model Files  1.0 GB: 1-of-28   0.9 GB: 2-of-28   1.0 GB: 3-of-28   0.9 GB: 4-of-28   0.9 GB: 5-of-28   0.9 GB: 6-of-28   0.9 GB: 7-of-28   0.9 GB: 8-of-28   1.0 GB: 9-of-28   0.9 GB: 10-of-28   0.9 GB: 11-of-28   0.9 GB: 12-of-28   0.9 GB: 13-of-28   0.9 GB: 14-of-28   1.0 GB: 15-of-28   0.9 GB: 16-of-28   0.9 GB: 17-of-28   0.9 GB: 18-of-28   0.9 GB: 19-of-28   0.9 GB: 20-of-28   1.0 GB: 21-of-28   0.9 GB: 22-of-28   0.9 GB: 23-of-28   0.9 GB: 24-of-28   0.9 GB: 25-of-28   0.9 GB: 26-of-28   1.0 GB: 27-of-28   0.8 GB: 28-of-28
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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MultiMash10 13B Slerp32K / 25.7 GB60
Note: green Score (e.g. "73.2") means that the model is better than allknowingroger/MultiMash7-12B-slerp.

Rank the MultiMash7 12B Slerp 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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Release v20241124
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