Mistral 7B MoEified 8x by kalomaze

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  Arxiv:2303.01610   Autotrain compatible   Endpoints compatible   F16   Ggml   Gguf   License:apache-2.0   Mixtral   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Rank the Mistral 7B MoEified 8x 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 MoEified 8x (kalomaze/Mistral-7b-MoEified-8x)

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...ltimerge Neurallaymons 12B MoE76.2132K / 25.8 GB13550
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Multimaster 7B V675.6632K / 142.5 GB21671
Lumina 475.5932K / 37.1 GB10160
Note: green Score (e.g. "73.2") means that the model is better than kalomaze/Mistral-7b-MoEified-8x.

Mistral 7B MoEified 8x Parameters and Internals

LLM NameMistral 7B MoEified 8x
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM14.6 GB
Model Typemixtral
Model Files  14.5 GB   1.0 GB: 1-of-15   1.0 GB: 2-of-15   1.0 GB: 3-of-15   1.0 GB: 4-of-15   1.0 GB: 5-of-15   1.0 GB: 6-of-15   1.0 GB: 7-of-15   1.0 GB: 8-of-15   1.0 GB: 9-of-15   1.0 GB: 10-of-15   1.0 GB: 11-of-15   1.0 GB: 12-of-15   1.0 GB: 13-of-15   1.0 GB: 14-of-15   0.6 GB: 15-of-15
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|gguf
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16

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