Mistral 7B Base V1 by Moses25

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

Rank the Mistral 7B Base V1 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 7B Base V1 (Moses25/Mistral-7B-Base-V1)

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Note: green Score (e.g. "73.2") means that the model is better than Moses25/Mistral-7B-Base-V1.

Mistral 7B Base V1 Parameters and Internals

LLM NameMistral 7B Base V1
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM14.4 GB
Updated2024-07-13
MaintainerMoses25
Model Typemistral
Instruction-BasedYes
Model Files  4.9 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 Version4.36.1
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