Mistral 7B MoEified 8x by kalomaze

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

Mistral 7B MoEified 8x Parameters and Internals

LLM NameMistral 7B MoEified 8x
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM14.6 GB
Updated2024-07-26
Maintainerkalomaze
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
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size32000
Torch Data Typebfloat16
Mistral 7B MoEified 8x (kalomaze/Mistral-7b-MoEified-8x)

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501