What are the hardware requirements for GLM 5.3 Flash EXL3 3.5bpw?

GLM 5.3 Flash EXL3 3.5bpw requires approximately 87.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5.3 Flash EXL3 3.5bpw and how large is it?

GLM 5.3 Flash EXL3 3.5bpw is developed by Mia-AiLab, a model with 78.1b 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 EXL3 3.5bpw?

GLM 5.3 Flash EXL3 3.5bpw 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 EXL3 3.5bpw by Mia-AiLab — VRAM 87.3GB

Name: GLM 5.3 Flash EXL3 3.5bpw
Author: Mia-AiLab

GLM 5.3 Flash EXL3 3.5bpw is an open-source language model by Mia-AiLab. Features: 78.1b LLM, VRAM: 87.3GB, License: apache-2.0.

Base model:quantized:zai-org/g... Base model:zai-org/glm-5.3-fla... Conversational Exl3 Glm Glm5 next Image-text-to-text Moe Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Mia-AiLab/GLM-5.3-Flash-EXL3-3.5bpw

GLM 5.3 Flash EXL3 3.5bpw Parameters and Internals

LLM Name	GLM 5.3 Flash EXL3 3.5bpw
Repository 🤗	https://huggingface.co/Mia-AiLab/GLM-5.3-Flash-EXL3-3.5bpw
Base Model(s)	zai-org/GLM-5.3-Flash zai-org/GLM-5.3-Flash
Model Size	78.1b
Required VRAM	87.3 GB
Updated	2026-11-04
Maintainer	Mia-AiLab
Model Type	glm5_next
Model Files	1.3 GB: 1-of-74 2.0 GB: 2-of-74 2.1 GB: 3-of-74 2.1 GB: 4-of-74 2.1 GB: 5-of-74 2.1 GB: 6-of-74 2.1 GB: 7-of-74 2.1 GB: 8-of-74 2.1 GB: 9-of-74 2.1 GB: 10-of-74 2.1 GB: 11-of-74 2.1 GB: 12-of-74 2.1 GB: 13-of-74 2.1 GB: 14-of-74 2.1 GB: 15-of-74 2.1 GB: 16-of-74 2.1 GB: 17-of-74 2.1 GB: 18-of-74 2.1 GB: 19-of-74 2.1 GB: 20-of-74 2.1 GB: 21-of-74 2.1 GB: 22-of-74 2.1 GB: 23-of-74 2.1 GB: 24-of-74 2.1 GB: 25-of-74 2.1 GB: 26-of-74 2.1 GB: 27-of-74 2.1 GB: 28-of-74 2.1 GB: 29-of-74 2.1 GB: 30-of-74 2.1 GB: 31-of-74 2.1 GB: 32-of-74 2.1 GB: 33-of-74 2.1 GB: 34-of-74 2.1 GB: 35-of-74 2.1 GB: 36-of-74 2.1 GB: 37-of-74 2.1 GB: 38-of-74 2.1 GB: 39-of-74 2.1 GB: 40-of-74 2.1 GB: 41-of-74 2.1 GB: 42-of-74
Model Architecture	Glm5NextForConditionalGeneration
License	apache-2.0
Transformers Version	5.16.0

Rank the GLM 5.3 Flash EXL3 3.5bpw 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 Flash EXL3 3.5bpw

Best Alternatives	Context / RAM	Downloads	Likes
GLM 5.3 Flash EXL3 TR3 3.5bpw	0K / 51.6 GB	195	3

Note: green Score (e.g. "73.2") means that the model is better than Mia-AiLab/GLM-5.3-Flash-EXL3-3.5bpw.