What are the hardware requirements for GLM 5 NVFP4?

GLM 5 NVFP4 requires approximately 71.3 GB of VRAM and supports a context window of 198K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5 NVFP4 and how large is it?

GLM 5 NVFP4 is developed by nvidia, a model with 435.2b 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 NVFP4?

GLM 5 NVFP4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLM 5 NVFP4 by nvidia — VRAM 71.3GB, 198K context

Name: GLM 5 NVFP4
Author: nvidia

GLM 5 NVFP4 is an open-source language model by nvidia. Features: 435.2b LLM, VRAM: 71.3GB, Context: 198K, License: mit, MoE, LLM Explorer Score: 0.32.

8-bit Base model:finetune:zai-org/gl... Base model:zai-org/glm-5 Conversational Fp4 Glm-5 Glm moe dsa Model optimizer Modelopt Moe Nvidia Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nvidia/GLM-5-NVFP4

GLM 5 NVFP4 Parameters and Internals

LLM Name	GLM 5 NVFP4
Repository 🤗	https://huggingface.co/nvidia/GLM-5-NVFP4
Base Model(s)	GLM 5 zai-org/GLM-5
Model Size	435.2b
Required VRAM	71.3 GB
Updated	2026-05-31
Maintainer	nvidia
Model Type	glm_moe_dsa
Model Files	4.7 GB: 1-of-282 1.6 GB: 2-of-282 1.5 GB: 3-of-282 1.5 GB: 4-of-282 1.8 GB: 5-of-282 1.5 GB: 6-of-282 1.5 GB: 7-of-282 1.5 GB: 8-of-282 1.8 GB: 9-of-282 1.5 GB: 10-of-282 1.5 GB: 11-of-282 1.5 GB: 12-of-282 1.8 GB: 13-of-282 1.5 GB: 14-of-282 1.5 GB: 15-of-282 1.8 GB: 16-of-282 1.5 GB: 17-of-282 1.5 GB: 18-of-282 1.5 GB: 19-of-282 1.8 GB: 20-of-282 1.5 GB: 21-of-282 1.5 GB: 22-of-282 1.5 GB: 23-of-282 1.8 GB: 24-of-282 1.5 GB: 25-of-282 1.5 GB: 26-of-282 1.8 GB: 27-of-282 1.5 GB: 28-of-282 1.5 GB: 29-of-282 1.5 GB: 30-of-282 1.8 GB: 31-of-282 1.5 GB: 32-of-282 1.5 GB: 33-of-282 1.5 GB: 34-of-282 1.8 GB: 35-of-282 1.5 GB: 36-of-282 1.5 GB: 37-of-282 1.9 GB: 38-of-282 1.6 GB: 39-of-282 1.5 GB: 40-of-282 1.5 GB: 41-of-282 1.8 GB: 42-of-282 1.5 GB: 43-of-282
Model Architecture	GlmMoeDsaForCausalLM
License	mit
Context Length	202752
Model Max Length	202752
Transformers Version	5.0.2.dev0
Vocabulary Size	154880

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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