What are the hardware requirements for GLM 5.3 Flash AZ Focus FP8?

GLM 5.3 Flash AZ Focus FP8 requires approximately 232.1 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 FP8 and how large is it?

GLM 5.3 Flash AZ Focus FP8 is developed by AxonZeta, a model with 321.3b 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 Flash AZ Focus FP8?

GLM 5.3 Flash AZ Focus FP8 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 FP8 by AxonZeta — VRAM 232.1GB

Name: GLM 5.3 Flash AZ Focus FP8
Author: AxonZeta

GLM 5.3 Flash AZ Focus FP8 is an open-source language model by AxonZeta. Features: 321.3b LLM, VRAM: 232.1GB, License: mit, LLM Explorer Score: 0.27.

Base model:finetune:zai-org/gl... Base model:zai-org/glm-5.3-fla... Conversational Efficient-reasoning Endpoints compatible Fp8 Glm Glm5 next Image-text-to-text Reasoning Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/AxonZeta/GLM-5.3-Flash-AZ-Focus-FP8

GLM 5.3 Flash AZ Focus FP8 Parameters and Internals

LLM Name	GLM 5.3 Flash AZ Focus FP8
Repository 🤗	https://huggingface.co/AxonZeta/GLM-5.3-Flash-AZ-Focus-FP8
Base Model(s)	zai-org/GLM-5.3-Flash zai-org/GLM-5.3-Flash
Model Size	321.3b
Required VRAM	232.1 GB
Updated	2026-10-14
Maintainer	AxonZeta
Model Type	glm5_next
Model Files	5.4 GB: 1-of-62 5.3 GB: 2-of-62 5.4 GB: 3-of-62 5.4 GB: 4-of-62 5.4 GB: 5-of-62 5.4 GB: 6-of-62 5.4 GB: 7-of-62 5.4 GB: 8-of-62 5.4 GB: 9-of-62 5.4 GB: 10-of-62 5.4 GB: 11-of-62 5.4 GB: 12-of-62 5.4 GB: 13-of-62 5.4 GB: 14-of-62 5.4 GB: 15-of-62 5.4 GB: 16-of-62 5.4 GB: 17-of-62 5.4 GB: 18-of-62 5.4 GB: 19-of-62 5.4 GB: 20-of-62 5.4 GB: 21-of-62 5.4 GB: 22-of-62 5.4 GB: 23-of-62 5.4 GB: 24-of-62 5.4 GB: 25-of-62 5.4 GB: 26-of-62 5.4 GB: 27-of-62 5.4 GB: 28-of-62 5.4 GB: 29-of-62 5.4 GB: 30-of-62 5.4 GB: 31-of-62 5.4 GB: 32-of-62 5.4 GB: 33-of-62 5.4 GB: 34-of-62 5.4 GB: 35-of-62 5.4 GB: 36-of-62 5.4 GB: 37-of-62 5.4 GB: 38-of-62 5.4 GB: 39-of-62 5.4 GB: 40-of-62 5.4 GB: 41-of-62 5.4 GB: 42-of-62 5.4 GB: 43-of-62
Model Architecture	Glm5NextForConditionalGeneration
License	mit
Transformers Version	5.16.0

Rank the GLM 5.3 Flash AZ Focus FP8 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 FP8

Best Alternatives	Context / RAM	Downloads	Likes
GLM 5.3 Flash	0K / 237.5 GB	34	1289
GLM 5.3 Flash BF16	0K / 237.1 GB	24	38
Apex Flash 1 Abliterated	0K / 460.9 GB	539	40
Apex Flash 1	0K / 460.9 GB	367	37
RED SNOW 5.3 FLASH BF16	0K / 215.5 GB	427	10
GLM 5.3 Flash FP8	0K / 237.5 GB	5048	22
... 5.3 Flash CYBERSECURITY W4A16	0K / 71.6 GB	4022	8
GLM 5.3 Flash ABLITERATED FP8	0K / 226.7 GB	1465	18
GLM 5.3 Flash OQ2e Mtp	0K / 110.4 GB	351	2
GLM 5.3 Flash	0K / 242.5 GB	1034	15

Note: green Score (e.g. "73.2") means that the model is better than AxonZeta/GLM-5.3-Flash-AZ-Focus-FP8.