What are the hardware requirements for GLM 5.3?

GLM 5.3 requires approximately 232.2 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 and how large is it?

GLM 5.3 is developed by vis-lee, a model with 753.3b 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 5.3?

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

GLM 5.3 by vis-lee — VRAM 232.2GB, 1024K context

Name: GLM 5.3
Author: vis-lee

GLM 5.3 is an open-source language model by vis-lee. Features: 753.3b LLM, VRAM: 232.2GB, Context: 1024K, License: other, MoE, LLM Explorer Score: 0.32.

Arxiv:2602.15763 Conversational En Endpoints compatible Eval-results Fp8 Glm moe dsa Moe Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/vis-lee/GLM-5.3

GLM 5.3 Parameters and Internals

LLM Name	GLM 5.3
Repository 🤗	https://huggingface.co/vis-lee/GLM-5.3
Model Size	753.3b
Required VRAM	232.2 GB
Updated	2026-09-06
Maintainer	vis-lee
Model Type	glm_moe_dsa
Model Files	5.4 GB: 1-of-141 5.4 GB: 2-of-141 5.4 GB: 3-of-141 5.4 GB: 4-of-141 5.4 GB: 5-of-141 5.4 GB: 6-of-141 5.4 GB: 7-of-141 5.4 GB: 8-of-141 5.4 GB: 9-of-141 5.4 GB: 10-of-141 5.4 GB: 11-of-141 5.4 GB: 12-of-141 5.4 GB: 13-of-141 5.4 GB: 14-of-141 5.4 GB: 15-of-141 5.4 GB: 16-of-141 5.4 GB: 17-of-141 5.4 GB: 18-of-141 5.4 GB: 19-of-141 5.4 GB: 20-of-141 5.4 GB: 21-of-141 5.4 GB: 22-of-141 5.4 GB: 23-of-141 5.4 GB: 24-of-141 5.4 GB: 25-of-141 5.4 GB: 26-of-141 5.4 GB: 27-of-141 5.4 GB: 28-of-141 5.4 GB: 29-of-141 5.4 GB: 30-of-141 5.4 GB: 31-of-141 5.4 GB: 32-of-141 5.4 GB: 33-of-141 5.4 GB: 34-of-141 5.4 GB: 35-of-141 5.4 GB: 36-of-141 5.4 GB: 37-of-141 5.4 GB: 38-of-141 5.4 GB: 39-of-141 5.4 GB: 40-of-141 5.4 GB: 41-of-141 5.4 GB: 42-of-141 5.4 GB: 43-of-141
Supported Languages	en zh
Model Architecture	GlmMoeDsaForCausalLM
License	other
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.15.0
Vocabulary Size	154880

Rank the GLM 5.3 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

Best Alternatives	Context / RAM	Downloads	Likes
GLM 5.3	1024K / 232.2 GB	8804	1255
GLM 5.2	1024K / 232 GB	2391730	4875
GLM 5.3 CYBERSECURITY FP8	1024K / 112.6 GB	227	29
GLM 5.3 BF16	1024K / 237.4 GB	482	24
GLM 5.3	1024K / 237.4 GB	379	6
GLM 5.3 W4A16	1024K / 73.9 GB	268	1
GLM 5.2	1024K / 237.4 GB	1671	26
GLM 5.2 MXFP4xMXFP8	1024K / 68.1 GB	296	2
GLM 5.3	1024K / 232.2 GB	118	1
MISS V0	1024K / 232 GB	205	1

Note: green Score (e.g. "73.2") means that the model is better than vis-lee/GLM-5.3.