MoEstral 2x7B by paulilioaica

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  Autotrain compatible Base model:mistralai/mistral-7...   Conversational   Endpoints compatible   Frankenmoe   Instruct   Lazymergekit   License:apache-2.0   Merge   Mergekit Mistralai/mistral-7b-instruct-...   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow

Rank the MoEstral 2x7B 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  
MoEstral 2x7B (paulilioaica/MoEstral-2x7B)

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MoEstral 2x7B Parameters and Internals

LLM NameMoEstral 2x7B
RepositoryOpen on ๐Ÿค— 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Model Size12.9b
Required VRAM25.8 GB
Updated2024-07-07
Maintainerpaulilioaica
Model Typemixtral
Instruction-BasedYes
Model Files  3.9 GB: 1-of-7   4.0 GB: 2-of-7   4.0 GB: 3-of-7   4.0 GB: 4-of-7   4.0 GB: 5-of-7   4.0 GB: 6-of-7   1.9 GB: 7-of-7
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat16

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