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

Notux 8x7b V1 GGUF requires approximately 17.3 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 MaziyarPanahi. 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 MaziyarPanahi — VRAM 17.3GB

Name: Notux 8x7b V1 GGUF
Author: MaziyarPanahi

Notux 8x7b V1 GGUF is an open-source language model by MaziyarPanahi. Features: LLM, VRAM: 17.3GB, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Base model:argilla/notux-8x7b-... Base model:mistralai/mixtral-8... Base model:quantized:argilla/n... Conversational Dataset:argilla/ultrafeedback-... De Dpo En Endpoints compatible Es Fr Gguf Has space Instruct It Mistral Mixtral Moe Preference Quantized Region:us Rlaif Safetensors Tensorboard Ultrafeedback

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/notux-8x7b-v1-GGUF

Notux 8x7b V1 GGUF Parameters and Internals

Model Type

transformers, text-generation

Supported Languages

en (high), de (unknown), es (unknown), fr (unknown), it (unknown)

LLM Name	Notux 8x7b V1 GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/notux-8x7b-v1-GGUF
Model Name	notux-8x7b-v1-GGUF
Model Creator	argilla
Base Model(s)	Notux 8x7b V1 argilla/notux-8x7b-v1
Required VRAM	17.3 GB
Updated	2026-06-04
Maintainer	MaziyarPanahi
Model Type	mistral
Instruction-Based	Yes
Model Files	17.3 GB 24.2 GB 22.5 GB 20.4 GB 28.4 GB 26.7 GB 33.2 GB 32.2 GB 38.4 GB 49.6 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel

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

Best Alternatives to Notux 8x7b V1 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...ixtral 8x7B Instruct V0.1 GGUF	0K / 15.6 GB	18491	655
Dolphin 2.5 Mixtral 8x7b GGUF	0K / 15.6 GB	18101	314
Dolphin 2.7 Mixtral 8x7b GGUF	0K / 15.6 GB	12812	176
Phi 3 Mini 4K Instruct GGUF	0K / 1.4 GB	1429	17
Dolphin 2 6 Phi 2 GGUF	0K / 1.2 GB	5273	75
Spydaz Web AI	0K / 4.4 GB	154	3
Autocomplete Model	0K / 4.1 GB	66	0
Phi 3 Mini 4K Instruct	0K / 2.3 GB	41	0
...3 Mini 4k OLScience 4bitQ Gguf	0K / 2.3 GB	26	0
Dictalm2.0 Instruct GGUF	0K / 4.4 GB	664	7

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