What are the hardware requirements for GLM 5.3 NVFP4?

GLM 5.3 NVFP4 requires approximately 210.7 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 5.3 NVFP4 and how large is it?

GLM 5.3 NVFP4 is developed by local-inference-lab, a model with 390.9b 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 NVFP4?

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

GLM 5.3 NVFP4 by local-inference-lab — VRAM 210.7GB, 1024K context

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

GLM 5.3 NVFP4 is an open-source language model by local-inference-lab. Features: 390.9b LLM, VRAM: 210.7GB, Context: 1024K, License: mit, MoE, LLM Explorer Score: 0.28.

8-bit Base model:quantized:zai-org/g... Base model:zai-org/glm-5.3 Conversational En Endpoints compatible Glm moe dsa Modelopt Moe Region:us Safetensors Sharded Tensorflow Zh

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

GLM 5.3 NVFP4 Parameters and Internals

LLM Name	GLM 5.3 NVFP4
Repository 🤗	https://huggingface.co/local-inference-lab/GLM-5.3-NVFP4
Base Model(s)	zai-org/GLM-5.3 zai-org/GLM-5.3
Model Size	390.9b
Required VRAM	210.7 GB
Updated	2026-10-08
Maintainer	local-inference-lab
Model Type	glm_moe_dsa
Model Files	0.0 GB 0.0 GB 5.4 GB: 1-of-84 5.4 GB: 2-of-84 5.4 GB: 3-of-84 5.4 GB: 4-of-84 5.4 GB: 5-of-84 5.4 GB: 6-of-84 5.4 GB: 7-of-84 5.4 GB: 8-of-84 5.4 GB: 9-of-84 5.4 GB: 10-of-84 5.4 GB: 11-of-84 5.4 GB: 12-of-84 5.4 GB: 13-of-84 5.4 GB: 14-of-84 5.4 GB: 15-of-84 5.4 GB: 16-of-84 5.4 GB: 17-of-84 5.4 GB: 18-of-84 5.5 GB: 19-of-84 5.4 GB: 20-of-84 5.4 GB: 21-of-84 5.4 GB: 22-of-84 5.4 GB: 23-of-84 5.4 GB: 24-of-84 5.4 GB: 25-of-84 5.4 GB: 26-of-84 5.4 GB: 27-of-84 5.4 GB: 28-of-84 5.4 GB: 29-of-84 5.4 GB: 30-of-84 5.4 GB: 31-of-84 5.4 GB: 32-of-84 5.4 GB: 33-of-84 5.4 GB: 34-of-84 5.4 GB: 35-of-84 5.4 GB: 36-of-84 5.4 GB: 37-of-84 5.4 GB: 38-of-84 5.4 GB: 39-of-84
Supported Languages	en zh
Model Architecture	GlmMoeDsaForCausalLM
License	mit
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.15.0
Vocabulary Size	154880

Rank the GLM 5.3 NVFP4 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

Best Alternatives to GLM 5.3 NVFP4

Best Alternatives	Context / RAM	Downloads	Likes
GLM 5.3 NVFP4	1024K / 5.4 GB	5529	12
GLM 5.3 NVFP4	1024K / 403.9 GB	2272	9
GLM 5.3 NVFP4	1024K / 219.4 GB	655	2

Note: green Score (e.g. "73.2") means that the model is better than local-inference-lab/GLM-5.3-NVFP4.