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Multimerge Neurallaymons 12B MoE by allknowingroger

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Allknowingroger/multimerge-7b-... Allknowingroger/neurallaymons-...   Autotrain compatible Base model:allknowingroger/mul... Base model:allknowingroger/neu... Base model:merge:allknowingrog... Base model:merge:allknowingrog...   Endpoints compatible   Frankenmoe   Lazymergekit   Merge   Mergekit   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

Multimerge Neurallaymons 12B MoE Benchmarks

ARC: 72.95-24.2%
HellaSwag: 88.7-6.9%
MMLU: 65.16-24.7%
TruthfulQA: 75.4627.9%
WinoGrande: 83.82-4.2%
GSM8K: 71.19-22.6%
nn.n% — How the model compares to the GPT-4.

Multimerge Neurallaymons 12B MoE Parameters and Internals

LLM NameMultimerge Neurallaymons 12B MoE
RepositoryOpen on 🤗 
Base Model(s)  MultiMerge 7B Slerp   Neurallaymons 7B Slerp   allknowingroger/MultiMerge-7B-slerp   allknowingroger/Neurallaymons-7B-slerp
Model Size7b
Required VRAM25.8 GB
Updated2024-07-27
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
Multimerge Neurallaymons 12B MoE (allknowingroger/Multimerge-Neurallaymons-12B-MoE)

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

Rank the Multimerge Neurallaymons 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501
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