Mixolar 4x7b by shadowml

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   License:apache-2.0   Merge   Mergekit   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow

Rank the Mixolar 4x7b 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  
Mixolar 4x7b (shadowml/Mixolar-4x7b)

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Mixolar 4x7b Parameters and Internals

LLM NameMixolar 4x7b
RepositoryOpen on ๐Ÿค— 
Model Size36.1b
Required VRAM72.3 GB
Updated2024-04-18
Maintainershadowml
Model Typemixtral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-8   10.0 GB: 2-of-8   10.0 GB: 3-of-8   10.0 GB: 4-of-8   10.0 GB: 5-of-8   10.0 GB: 6-of-8   10.0 GB: 7-of-8   2.4 GB: 8-of-8
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
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 v2024040901