Mistral0.3 by WeFanz

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  Autotrain compatible   Conversational   Endpoints compatible   License:apache-2.0   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Rank the Mistral0.3 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  
Mistral0.3 (WeFanz/mistral0.3)

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Mistral0.3 Parameters and Internals

LLM NameMistral0.3
RepositoryOpen on ๐Ÿค— 
Model Size7.2b
Required VRAM14.5 GB
Updated2024-07-13
MaintainerWeFanz
Model Typemistral
Model Files  14.5 GB   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Initializer Range0.02
Torch Data Typebfloat16

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