Mistral 7 by tomaszki

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Rank the Mistral 7 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  
Mistral 7 (tomaszki/mistral-7)

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Note: green Score (e.g. "73.2") means that the model is better than tomaszki/mistral-7.

Mistral 7 Parameters and Internals

LLM NameMistral 7
RepositoryOpen on ๐Ÿค— 
Model Size7.2b
Required VRAM14.4 GB
Updated2024-05-29
Maintainertomaszki
Model Typellama
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16

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