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SauerkrautLM Mixtral 8x7B Instruct GGUF by TheBloke

By TheBloke · 361 downloads

SauerkrautLM Mixtral 8x7B Instruct GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 15.6GB, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

  Augmentation Base model:quantized:vagosolut... Base model:vagosolutions/sauer...   Conversational Dataset:argilla/distilabel-mat...   De   Dpo   En   Es   Finetuned   Fr   German   Gguf   Instruct   It   Mistral   Mixtral   Moe   Quantized   Region:us

SauerkrautLM Mixtral 8x7B Instruct GGUF Parameters and Internals

Model Type 
mixtral
Use Cases 
Primary Use Cases:
text generation
Supported Languages 
English (unknown), German (unknown), French (unknown), Italian (unknown), Spanish (unknown)
Training Details 
Data Sources:
argilla/distilabel-math-preference-dpo
Methodology:
Mixture of Experts (MoE) Model
Model Architecture:
based on mistralai/Mixtral-8x7B-Instruct-v0.1
Input Output 
Input Format:
[INST] {prompt} [/INST]
Accepted Modalities:
text
LLM NameSauerkrautLM Mixtral 8x7B Instruct GGUF
Repository πŸ€—https://huggingface.co/TheBloke/SauerkrautLM-Mixtral-8x7B-Instruct-GGUF 
Model NameSauerkrautLM Mixtral 8X7B Instruct
Model CreatorVAGO solutions
Base Model(s)  ...rkrautLM Mixtral 8x7B Instruct   VAGOsolutions/SauerkrautLM-Mixtral-8x7B-Instruct
Required VRAM15.6 GB
Updated2026-07-02
MaintainerTheBloke
Model Typemixtral
Instruction-BasedYes
Model Files  15.6 GB   20.4 GB   26.4 GB   26.4 GB   32.2 GB   32.2 GB   38.4 GB   49.6 GB
Supported Languagesen de fr it es
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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