Notux 8x7b V1 GPTQ by TheBloke

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Notux 8x7b V1 GPTQ is an open-source language model by TheBloke. Features: 46.7b LLM, VRAM: 23.8GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.11.

  4-bit Base model:argilla/notux-8x7b-... Base model:quantized:argilla/n...   Conversational Dataset:argilla/ultrafeedback-...   De   Dpo   En   Es   Fr   Gptq   It   Mixtral   Moe   Preference   Quantized   Region:us   Rlaif   Safetensors   Ultrafeedback

Notux 8x7b V1 GPTQ Benchmarks

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 GPTQ Parameters and Internals

Model Type 
Pretrained generative Sparse Mixture of Experts
Additional Notes 
This model represents the first experiment in tuning a MoE model that has already been fine-tuned with DPO.
Supported Languages 
English (NLP), Spanish (NLP), Italian (NLP), German (NLP), French (NLP)
Training Details 
Data Sources:
argilla/ultrafeedback-binarized-preferences-cleaned
Methodology:
DPO (Direct Preference Optimization)
Training Time:
~10hr
Hardware Used:
8 x H100 80GB hosted in runpod.io
LLM NameNotux 8x7b V1 GPTQ
Repository 🤗https://huggingface.co/TheBloke/notux-8x7b-v1-GPTQ 
Model NameNotux 8X7B v1
Model CreatorArgilla
Base Model(s)  Notux 8x7b V1   argilla/notux-8x7b-v1
Model Size46.7b
Required VRAM23.8 GB
Updated2026-04-15
MaintainerTheBloke
Model Typemixtral
Model Files  23.8 GB
Supported Languagesen de es fr it
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Release v20260328a