Neuraljack 12B MoE by allknowingroger

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Allknowingroger/jaskiermistral...   Autotrain compatible Base model:allknowingroger/jas... Base model:kukedlc/neuralmaths...   Endpoints compatible   Frankenmoe Kukedlc/neuralmaths-experiment...   Lazymergekit   License:apache-2.0   Merge   Mergekit   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

Neuraljack 12B MoE Benchmarks

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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  
Neuraljack 12B MoE (allknowingroger/Neuraljack-12B-MoE)

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

Neuraljack 12B MoE Parameters and Internals

LLM NameNeuraljack 12B MoE
RepositoryOpen on ๐Ÿค— 
Base Model(s)  JaskierMistral 7B Slerp   NeuralMaths Experiment 7B   allknowingroger/JaskierMistral-7B-slerp   Kukedlc/NeuralMaths-Experiment-7b
Model Size7b
Required VRAM25.8 GB
Updated2024-06-24
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
Initializer Range0.02
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801