Mixnueza 6x32M MoE by Isotonic

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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  
Mixnueza 6x32M MoE (Isotonic/Mixnueza-6x32M-MoE)

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Mixnueza 6x32M MoE Parameters and Internals

LLM NameMixnueza 6x32M MoE
RepositoryOpen on ๐Ÿค— 
Model Size83.9m
Required VRAM0.3 GB
Updated2024-04-18
MaintainerIsotonic
Model Typemixtral
Instruction-BasedYes
Model Files  0.3 GB: 1-of-1
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32002
Initializer Range0.02
Torch Data Typefloat32

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024040901