Mamba Text Classification by tarekxpc

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  Endpoints compatible   Generated from trainer   Pytorch   Region:us

Rank the Mamba Text Classification 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  
Mamba Text Classification (tarekxpc/mamba_text_classification)

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Note: green Score (e.g. "73.2") means that the model is better than tarekxpc/mamba_text_classification.

Mamba Text Classification Parameters and Internals

LLM NameMamba Text Classification
RepositoryOpen on ๐Ÿค— 
Required VRAM0.5 GB
Model Files  0.5 GB   0.0 GB
Model ArchitectureAutoModel
Model Max Length2048
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size50277

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20240042001