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Mistral 7B MoEified 8x by kalomaze

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Mistral 7B MoEified 8x is an open-source language model by kalomaze. Features: 7b LLM, VRAM: 14.6GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.15.

  Arxiv:2303.01610   Deploy:azure   Endpoints compatible   F16   Ggml   Gguf   Mixtral   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/kalomaze/Mistral-7b-MoEified-8x 

Mistral 7B MoEified 8x Benchmarks

LLME Score: 0.14501
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B MoEified 8x (kalomaze/Mistral-7b-MoEified-8x)
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Mistral 7B MoEified 8x Parameters and Internals

Model Type 
dense language model
Use Cases 
Areas:
Research
Primary Use Cases:
Adaptive computation for efficient token prediction
Additional Notes 
The method involves modifying the dense language model by dividing MLP layers into "experts" and initializing router layers for unbiased expert activation.
Training Details 
Methodology:
Expert layers division and router layers initialization for equal expert usage.
Model Architecture:
Slicing individual MLP layers into multiple experts with router layers initialized to ensure equal expert usage.
LLM NameMistral 7B MoEified 8x
Repository 🤗https://huggingface.co/kalomaze/Mistral-7b-MoEified-8x 
Model Size7b
Required VRAM14.6 GB
Updated2026-03-26
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

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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  

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