What are the hardware requirements for GritLM 8x7B GGUF?

GritLM 8x7B 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 GritLM 8x7B GGUF and how large is it?

GritLM 8x7B 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 GritLM 8x7B GGUF?

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

GritLM 8x7B GGUF by MaziyarPanahi — VRAM 17.3GB

Name: GritLM 8x7B GGUF
Author: MaziyarPanahi

GritLM 8x7B GGUF is an open-source language model by MaziyarPanahi. Features: LLM, VRAM: 17.3GB, MoE, Quantized, LLM Explorer Score: 0.11.

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/GritLM-8x7B-GGUF

GritLM 8x7B GGUF Parameters and Internals

Model Type

text-generation

Additional Notes

Quantized by MaziyarPanahi; supports GGUF format.

LLM Name	GritLM 8x7B GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/GritLM-8x7B-GGUF
Model Name	GritLM-8x7B-GGUF
Model Creator	GritLM
Base Model(s)	GritLM 8x7B GritLM/GritLM-8x7B
Required VRAM	17.3 GB
Updated	2026-08-03
Maintainer	MaziyarPanahi
Model Type	mistral
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 GritLM 8x7B 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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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/GritLM-8x7B-GGUF.