What are the hardware requirements for GLM 5.3 Flash AZ Focus EXL3?

GLM 5.3 Flash AZ Focus EXL3 requires approximately 3.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5.3 Flash AZ Focus EXL3 and how large is it?

GLM 5.3 Flash AZ Focus EXL3 is developed by AxonZeta, a model with 87.8b 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 AZ Focus EXL3?

GLM 5.3 Flash AZ Focus EXL3 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 AZ Focus EXL3 by AxonZeta — VRAM 3.6GB

Name: GLM 5.3 Flash AZ Focus EXL3
Author: AxonZeta

GLM 5.3 Flash AZ Focus EXL3 is an open-source language model by AxonZeta. Features: 87.8b LLM, VRAM: 3.6GB, License: mit, LLM Explorer Score: 0.28.

4-bit Base model:quantized:zai-org/g... Base model:zai-org/glm-5.3-fla... Conversational Efficient-reasoning Endpoints compatible Exl3 Glm Glm5 next Image-text-to-text Reasoning Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/AxonZeta/GLM-5.3-Flash-AZ-Focus-EXL3

GLM 5.3 Flash AZ Focus EXL3 Parameters and Internals

LLM Name	GLM 5.3 Flash AZ Focus EXL3
Repository 🤗	https://huggingface.co/AxonZeta/GLM-5.3-Flash-AZ-Focus-EXL3
Base Model(s)	zai-org/GLM-5.3-Flash zai-org/GLM-5.3-Flash
Model Size	87.8b
Required VRAM	3.6 GB
Updated	2026-10-12
Maintainer	AxonZeta
Model Type	glm5_next
Model Files	3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB 3.6 GB
Model Architecture	Glm5NextForConditionalGeneration
License	mit
Transformers Version	5.16.0

Rank the GLM 5.3 Flash AZ Focus EXL3 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 AZ Focus EXL3

Best Alternatives	Context / RAM	Downloads	Likes
...5.3 Flash EXL3 4bpw TensorFold	0K / 87.2 GB	2401	33
GLM 5.3 Flash Tr3 4bpw	0K / 37.8 GB	4515	28
GLM 5.3 Flash EXL3 TR3 4bpw	0K / 50 GB	2335	14
...5.3 Flash Tr3 4bpw Abliterated	0K / 40.8 GB	64	2
Jspark3	0K / 45.6 GB	45	1

Note: green Score (e.g. "73.2") means that the model is better than AxonZeta/GLM-5.3-Flash-AZ-Focus-EXL3.