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Op Zepcao10 by abhishek

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  Autotrain   Autotrain compatible   Conversational   Endpoints compatible   Has space   License:mit   Mistral   Pytorch   Region:us   Sharded   Tensorboard

Rank the Op Zepcao10 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  
Op Zepcao10 (abhishek/op_zepcao10)

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Op Zepcao10 Parameters and Internals

LLM NameOp Zepcao10
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM14.4 GB
Updated2024-02-28
Maintainerabhishek
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2   0.0 GB
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat16
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024022003