What are the hardware requirements for GLM 5.3 Int4 Int8Mix?

GLM 5.3 Int4 Int8Mix requires approximately 65.1 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 Int4 Int8Mix and how large is it?

GLM 5.3 Int4 Int8Mix is developed by Tech2wild, a model with 779.2b 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 5.3 Int4 Int8Mix?

GLM 5.3 Int4 Int8Mix is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLM 5.3 Int4 Int8Mix by Tech2wild — VRAM 65.1GB, 1024K context

Name: GLM 5.3 Int4 Int8Mix
Author: Tech2wild

GLM 5.3 Int4 Int8Mix is an open-source language model by Tech2wild. Features: 779.2b LLM, VRAM: 65.1GB, Context: 1024K, License: other, MoE, LLM Explorer Score: 0.35.

Base model:quantized:zai-org/g... Base model:zai-org/glm-5.3 Compressed-tensors Conversational Dgx-spark Endpoints compatible Gb10 Glm Glm moe dsa Int4 Int8 Moe Region:us Safetensors Sharded Tensorflow Vllm W4a16 W8a16

Model Card on HF 🤗: https://huggingface.co/Tech2wild/GLM-5.3-Int4-Int8Mix

GLM 5.3 Int4 Int8Mix Parameters and Internals

LLM Name	GLM 5.3 Int4 Int8Mix
Repository 🤗	https://huggingface.co/Tech2wild/GLM-5.3-Int4-Int8Mix
Base Model(s)	zai-org/GLM-5.3 zai-org/GLM-5.3
Model Size	779.2b
Required VRAM	65.1 GB
Updated	2026-08-31
Maintainer	Tech2wild
Model Type	glm_moe_dsa
Model Files	5.0 GB: 1-of-282 1.4 GB: 2-of-282 1.4 GB: 3-of-282 1.4 GB: 4-of-282 1.5 GB: 5-of-282 1.4 GB: 6-of-282 1.4 GB: 7-of-282 1.4 GB: 8-of-282 1.5 GB: 9-of-282 1.4 GB: 10-of-282 1.4 GB: 11-of-282 1.4 GB: 12-of-282 1.5 GB: 13-of-282 1.4 GB: 14-of-282 1.4 GB: 15-of-282 1.5 GB: 16-of-282 1.4 GB: 17-of-282 1.4 GB: 18-of-282 1.4 GB: 19-of-282 1.5 GB: 20-of-282 1.4 GB: 21-of-282 1.4 GB: 22-of-282 1.4 GB: 23-of-282 1.5 GB: 24-of-282 1.4 GB: 25-of-282 1.4 GB: 26-of-282 1.5 GB: 27-of-282 1.4 GB: 28-of-282 1.4 GB: 29-of-282 1.4 GB: 30-of-282 1.5 GB: 31-of-282 1.4 GB: 32-of-282 1.4 GB: 33-of-282 1.4 GB: 34-of-282 1.5 GB: 35-of-282 1.4 GB: 36-of-282 1.4 GB: 37-of-282 1.7 GB: 38-of-282 1.4 GB: 39-of-282 1.4 GB: 40-of-282 1.4 GB: 41-of-282 1.5 GB: 42-of-282 1.4 GB: 43-of-282
Model Architecture	GlmMoeDsaForCausalLM
License	other
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.15.0
Vocabulary Size	154880

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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation