What are the hardware requirements for Mixtral 8x7B Instruct V0.1 GGUF?

Mixtral 8x7B Instruct V0.1 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 Mixtral 8x7B Instruct V0.1 GGUF and how large is it?

Mixtral 8x7B Instruct V0.1 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 Mixtral 8x7B Instruct V0.1 GGUF?

Mixtral 8x7B Instruct V0.1 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mixtral 8x7B Instruct V0.1 GGUF by MaziyarPanahi — VRAM 17.3GB

Name: Mixtral 8x7B Instruct V0.1 GGUF
Author: MaziyarPanahi

Mixtral 8x7B Instruct V0.1 GGUF is an open-source language model by MaziyarPanahi. Features: LLM, VRAM: 17.3GB, License: apache-2.0, 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:mistralai/mixtral-8... Base model:quantized:mistralai... Conversational De En Es Fr Gguf Has space Instruct It Mistral Mixtral Moe Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Mixtral-8x7B-Instruct-v0.1-GGUF

Mixtral 8x7B Instruct V0.1 GGUF Parameters and Internals

Model Type

text-generation

Supported Languages

fr (fluent), it (fluent), de (fluent), es (fluent), en (fluent)

LLM Name	Mixtral 8x7B Instruct V0.1 GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/Mixtral-8x7B-Instruct-v0.1-GGUF
Model Name	Mixtral-8x7B-Instruct-v0.1-GGUF
Model Creator	mistralai
Base Model(s)	mistralai/Mixtral-8x7B-Instruct-v0.1 mistralai/Mixtral-8x7B-Instruct-v0.1
Required VRAM	17.3 GB
Updated	2026-07-31
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
License	apache-2.0

Rank the Mixtral 8x7B Instruct V0.1 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 Mixtral 8x7B Instruct V0.1 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
Spydaz Web AI	0K / 4.4 GB	154	3
Dolphin 2 6 Phi 2 GGUF	0K / 1.2 GB	5273	75
Autocomplete Model	0K / 4.1 GB	66	0
Phi 3 Mini 4K Instruct	0K / 2.3 GB	32	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/Mixtral-8x7B-Instruct-v0.1-GGUF.