What are the hardware requirements for Notux 8x7b V1 GGUF?

Notux 8x7b V1 GGUF requires approximately 15.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Notux 8x7b V1 GGUF and how large is it?

Notux 8x7b V1 GGUF is developed by TheBloke. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Notux 8x7b V1 GGUF?

Notux 8x7b V1 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Notux 8x7b V1 GGUF by TheBloke — VRAM 15.6GB

Name: Notux 8x7b V1 GGUF
Author: TheBloke

Notux 8x7b V1 GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 15.6GB, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.1.

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 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 Name	Notux 8x7b V1 GGUF
Repository 🤗	https://huggingface.co/TheBloke/notux-8x7b-v1-GGUF
Model Name	Notux 8X7B v1
Model Creator	Argilla
Base Model(s)	Notux 8x7b V1 argilla/notux-8x7b-v1
Required VRAM	15.6 GB
Updated	2026-07-19
Maintainer	TheBloke
Model Type	mixtral
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 Languages	en de es fr it
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Notux 8x7b V1 GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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