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Notux 8x7b V1 GGUF by TheBloke

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Base model:argilla/notux-8x7b-... Base model:quantized:argilla/n...   Conversational Dataset:argilla/ultrafeedback-...   De   Dpo   En   Es   Fr   Gguf   It   Mixtral   Moe   Preference   Quantized   Region:us   Rlaif   Ultrafeedback
Model Card on HF 🤗: https://huggingface.co/TheBloke/notux-8x7b-v1-GGUF 

Notux 8x7b V1 GGUF Benchmarks

LLME Score: 0.13815
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Notux 8x7b V1 GGUF (TheBloke/notux-8x7b-v1-GGUF)
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Notux 8x7b V1 GGUF Parameters and Internals

Model Type 
Pretrained generative Sparse Mixture of Experts
Additional Notes 
Uses Direct Preference Optimization (DPO) and ranked top in MoE category on Hugging Face Open LLM Leaderboard.
Supported Languages 
English (yes), Spanish (yes), Italian (yes), German (yes), French (yes)
Training Details 
Data Sources:
argilla/ultrafeedback-binarized-preferences-cleaned
Methodology:
Preference tuning using DPO
Training Time:
~10hr for 1 epoch
Hardware Used:
8 x H100 80GB
Model Architecture:
Sparse Mixture of Experts
LLM NameNotux 8x7b V1 GGUF
Repository 🤗https://huggingface.co/TheBloke/notux-8x7b-v1-GGUF 
Model NameNotux 8X7B v1
Model CreatorArgilla
Base Model(s)  Notux 8x7b V1   argilla/notux-8x7b-v1
Required VRAM15.6 GB
Updated2025-10-10
MaintainerTheBloke
Model Typemixtral
Model Files  15.6 GB   20.4 GB   20.4 GB   20.3 GB   26.4 GB   26.4 GB   26.4 GB   32.2 GB   32.2 GB   32.2 GB   38.4 GB   49.6 GB
Supported Languagesen de es fr it
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/notux-8x7b-v1-GGUF.

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Release v20241124
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