Mistral CatMacaroni Slerp 7B by diffnamehard

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

Rank the Mistral CatMacaroni Slerp 7B 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 CatMacaroni Slerp 7B (diffnamehard/Mistral-CatMacaroni-slerp-7B)

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Mistral CatMacaroni Slerp 7B Parameters and Internals

LLM NameMistral CatMacaroni Slerp 7B
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM14.5 GB
Updated2024-07-01
Maintainerdiffnamehard
Model Typemistral
Instruction-BasedYes
Model Files  4.0 GB: 1-of-4   3.9 GB: 2-of-4   4.0 GB: 3-of-4   2.6 GB: 4-of-4
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat16

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