What are the hardware requirements for GLM 5.3 Flash NVFP4 Spark?

GLM 5.3 Flash NVFP4 Spark requires approximately 182.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5.3 Flash NVFP4 Spark and how large is it?

GLM 5.3 Flash NVFP4 Spark is developed by local-inference-lab, a model with 165.5b 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 5.3 Flash NVFP4 Spark?

GLM 5.3 Flash NVFP4 Spark is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLM 5.3 Flash NVFP4 Spark by local-inference-lab — VRAM 182.7GB

Name: GLM 5.3 Flash NVFP4 Spark
Author: local-inference-lab

GLM 5.3 Flash NVFP4 Spark is an open-source language model by local-inference-lab. Features: 165.5b LLM, VRAM: 182.7GB, License: mit, LLM Explorer Score: 0.39.

Arxiv:2602.15763 8-bit Conversational En Endpoints compatible Glm5 next Image-text-to-text Modelopt Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/local-inference-lab/GLM-5.3-Flash-NVFP4-Spark

GLM 5.3 Flash NVFP4 Spark Parameters and Internals

LLM Name	GLM 5.3 Flash NVFP4 Spark
Repository 🤗	https://huggingface.co/local-inference-lab/GLM-5.3-Flash-NVFP4-Spark
Model Size	165.5b
Required VRAM	182.7 GB
Updated	2026-09-19
Maintainer	local-inference-lab
Model Type	glm5_next
Model Files	0.0 GB 0.0 GB 2.3 GB: 1-of-36 5.0 GB: 2-of-36 4.9 GB: 3-of-36 4.9 GB: 4-of-36 5.0 GB: 5-of-36 5.0 GB: 6-of-36 5.0 GB: 7-of-36 4.7 GB: 8-of-36 5.0 GB: 9-of-36 5.0 GB: 10-of-36 5.1 GB: 11-of-36 5.0 GB: 12-of-36 4.8 GB: 13-of-36 5.1 GB: 14-of-36 5.0 GB: 15-of-36 5.0 GB: 16-of-36 4.7 GB: 17-of-36 5.0 GB: 18-of-36 5.0 GB: 19-of-36 5.0 GB: 20-of-36 5.0 GB: 21-of-36 4.8 GB: 22-of-36 5.0 GB: 23-of-36 5.1 GB: 24-of-36 5.0 GB: 25-of-36 4.7 GB: 26-of-36 5.1 GB: 27-of-36 5.0 GB: 28-of-36 5.0 GB: 29-of-36 5.0 GB: 30-of-36 4.7 GB: 31-of-36 5.0 GB: 32-of-36 5.0 GB: 33-of-36 5.1 GB: 34-of-36 4.6 GB: 35-of-36 4.3 GB: 1-of-4 2.9 GB: 2-of-4 2.8 GB: 3-of-4 2.1 GB: 4-of-4 0.0 GB
Supported Languages	en zh
Model Architecture	Glm5NextForConditionalGeneration
License	mit
Transformers Version	5.16.1

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