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SauerkrautLM Mixtral 8x7B Instruct GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  SauerkrautLM Mixtral 8x7B Instruct GGUF   URL Share it on

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  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
Model Card on HF 🤗: https://huggingface.co/TheBloke/SauerkrautLM-Mixtral-8x7B-Instruct-GGUF 

SauerkrautLM Mixtral 8x7B Instruct GGUF Benchmarks

LLME Score: 0.15885
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SauerkrautLM Mixtral 8x7B Instruct GGUF (TheBloke/SauerkrautLM-Mixtral-8x7B-Instruct-GGUF)

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 🤗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
Updated2025-03-25
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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...ixtral 8x7B Instruct V0.1 GGUF0K / 15.6 GB28070613
Phi 3 Mini 4K Instruct GGUF0K / 1.4 GB196816
Dolphin 2.5 Mixtral 8x7b GGUF0K / 15.6 GB4631300
Dolphin 2.7 Mixtral 8x7b GGUF0K / 15.6 GB4770136
Spydaz Web AI 0K / 4.4 GB1533
...i 3 Mini 4K Instruct V0.3 GGUF0K / 1.4 GB2275
Dre Phi Gguf0K / 2.3 GB250
Autocomplete Model0K / 4.1 GB200
Phi 3 Mini 4K Instruct0K / 2.3 GB120
...3 Mini 4k OLScience 4bitQ Gguf0K / 2.3 GB50
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SauerkrautLM-Mixtral-8x7B-Instruct-GGUF.

Rank the SauerkrautLM Mixtral 8x7B Instruct GGUF Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20241227
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