What are the hardware requirements for GLM 5.2 MXFP4?

GLM 5.2 MXFP4 requires approximately 69.5 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5.2 MXFP4 and how large is it?

GLM 5.2 MXFP4 is developed by amd, a model with 412.3b 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 5.2 MXFP4?

GLM 5.2 MXFP4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLM 5.2 MXFP4 by amd — VRAM 69.5GB, 1024K context

Name: GLM 5.2 MXFP4
Author: amd

GLM 5.2 MXFP4 is an open-source language model by amd. Features: 412.3b LLM, VRAM: 69.5GB, Context: 1024K, License: mit, MoE, LLM Explorer Score: 0.34.

8-bit Base model:quantized:zai-org/g... Base model:zai-org/glm-5.2 Glm moe dsa Moe Quark Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/amd/GLM-5.2-MXFP4

GLM 5.2 MXFP4 Parameters and Internals

LLM Name	GLM 5.2 MXFP4
Repository 🤗	https://huggingface.co/amd/GLM-5.2-MXFP4
Base Model(s)	zai-org/GLM-5.2 zai-org/GLM-5.2
Model Size	412.3b
Required VRAM	69.5 GB
Updated	2026-08-28
Maintainer	amd
Model Type	glm_moe_dsa
Model Files	5.3 GB: 1-of-282 1.5 GB: 2-of-282 1.4 GB: 3-of-282 1.4 GB: 4-of-282 1.7 GB: 5-of-282 1.4 GB: 6-of-282 1.4 GB: 7-of-282 1.4 GB: 8-of-282 1.7 GB: 9-of-282 1.4 GB: 10-of-282 1.4 GB: 11-of-282 1.4 GB: 12-of-282 1.7 GB: 13-of-282 1.4 GB: 14-of-282 1.4 GB: 15-of-282 1.7 GB: 16-of-282 1.4 GB: 17-of-282 1.4 GB: 18-of-282 1.4 GB: 19-of-282 1.7 GB: 20-of-282 1.4 GB: 21-of-282 1.4 GB: 22-of-282 1.4 GB: 23-of-282 1.7 GB: 24-of-282 1.4 GB: 25-of-282 1.4 GB: 26-of-282 1.7 GB: 27-of-282 1.4 GB: 28-of-282 1.4 GB: 29-of-282 1.4 GB: 30-of-282 1.7 GB: 31-of-282 1.4 GB: 32-of-282 1.4 GB: 33-of-282 1.4 GB: 34-of-282 1.7 GB: 35-of-282 1.4 GB: 36-of-282 1.4 GB: 37-of-282 2.3 GB: 38-of-282 1.4 GB: 39-of-282 1.4 GB: 40-of-282 1.4 GB: 41-of-282 1.7 GB: 42-of-282 1.4 GB: 43-of-282 1.4 GB: 44-of-282
Model Architecture	GlmMoeDsaForCausalLM
License	mit
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.12.0
Vocabulary Size	154880

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
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Multi-Language Support and Translation