What are the hardware requirements for GLM 4.6V Flash Mxfp4?

GLM 4.6V Flash Mxfp4 requires approximately 6.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 4.6V Flash Mxfp4 and how large is it?

GLM 4.6V Flash Mxfp4 is developed by mlx-community, a model with 2.7b parameters. 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 GLM 4.6V Flash Mxfp4?

GLM 4.6V Flash Mxfp4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLM 4.6V Flash Mxfp4 by mlx-community — VRAM 6.8GB

Name: GLM 4.6V Flash Mxfp4
Author: mlx-community

GLM 4.6V Flash Mxfp4 is an open-source language model by mlx-community. Features: 2.7b LLM, VRAM: 6.8GB, License: mit, LLM Explorer Score: 0.22.

4-bit Base model:quantized:zai-org/g... Base model:zai-org/glm-4.6v-fl... Conversational En Endpoints compatible Glm4v Image-text-to-text Mlx Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/mlx-community/GLM-4.6V-Flash-mxfp4

GLM 4.6V Flash Mxfp4 Parameters and Internals

LLM Name	GLM 4.6V Flash Mxfp4
Repository 🤗	https://huggingface.co/mlx-community/GLM-4.6V-Flash-mxfp4
Base Model(s)	zai-org/GLM-4.6V-Flash zai-org/GLM-4.6V-Flash
Model Size	2.7b
Required VRAM	6.8 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	glm4v
Model Files	5.4 GB: 1-of-2 1.4 GB: 2-of-2
Supported Languages	zh en
Model Architecture	Glm4vForConditionalGeneration
License	mit
Model Max Length	128000
Transformers Version	5.0.0rc0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>

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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