What are the hardware requirements for MixTAO 7Bx2 MoE V8.1 GGUF?

MixTAO 7Bx2 MoE V8.1 GGUF requires approximately 4.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MixTAO 7Bx2 MoE V8.1 GGUF and how large is it?

MixTAO 7Bx2 MoE V8.1 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 MixTAO 7Bx2 MoE V8.1 GGUF?

MixTAO 7Bx2 MoE V8.1 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MixTAO 7Bx2 MoE V8.1 GGUF by MaziyarPanahi — VRAM 4.8GB

Name: MixTAO 7Bx2 MoE V8.1 GGUF
Author: MaziyarPanahi

MixTAO 7Bx2 MoE V8.1 GGUF is an open-source language model by MaziyarPanahi. Features: LLM, VRAM: 4.8GB, MoE, Quantized, LLM Explorer Score: 0.12.

2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Base model:mixtao/mixtao-7bx2-... Base model:quantized:mixtao/mi... Endpoints compatible Gguf Mistral Mixtral Model-index Moe Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/MixTAO-7Bx2-MoE-v8.1-GGUF

MixTAO 7Bx2 MoE V8.1 GGUF Parameters and Internals

Model Type

text-generation

LLM Name	MixTAO 7Bx2 MoE V8.1 GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/MixTAO-7Bx2-MoE-v8.1-GGUF
Model Name	MixTAO-7Bx2-MoE-v8.1-GGUF
Model Creator	zhengr
Base Model(s)	zhengr/MixTAO-7Bx2-MoE-v8.1 zhengr/MixTAO-7Bx2-MoE-v8.1
Required VRAM	4.8 GB
Updated	2026-08-08
Maintainer	MaziyarPanahi
Model Type	mistral
Model Files	7.0 GB 4.8 GB 6.7 GB 6.2 GB 5.6 GB 7.8 GB 7.3 GB 9.1 GB 8.9 GB 10.6 GB 13.7 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel

Rank the MixTAO 7Bx2 MoE V8.1 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 MixTAO 7Bx2 MoE V8.1 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
ComicBot V.2 Gguf	32K / 5 GB	54	0
Qwen3 Medical GRPO GGUF	0K / 1.7 GB	440	6
Gemma2 WizardLM	0K / 5.2 GB	22	0
...ixtral 8x7B Instruct V0.1 GGUF	0K / 15.6 GB	18491	655
Marco O1 GGUF	0K / 3 GB	262	6
Phi 2 GGUF	0K / 1.2 GB	21217	233
Dolphin 2.5 Mixtral 8x7b GGUF	0K / 15.6 GB	18101	314
Dolphin 2.7 Mixtral 8x7b GGUF	0K / 15.6 GB	12812	176
GOAT Llama3.1 V0.1	0K / 0.2 GB	39	3
Mixtral 8x7B V0.1 GGUF	0K / 15.6 GB	4192	438

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/MixTAO-7Bx2-MoE-v8.1-GGUF.