What are the hardware requirements for GLM 5.3 Flash FP8?

GLM 5.3 Flash FP8 requires approximately 237.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5.3 Flash FP8 and how large is it?

GLM 5.3 Flash FP8 is developed by unsloth, 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 FP8?

GLM 5.3 Flash 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 FP8 by unsloth — VRAM 237.5GB

Name: GLM 5.3 Flash FP8
Author: unsloth

GLM 5.3 Flash FP8 is an open-source language model by unsloth. Features: 321.3b LLM, VRAM: 237.5GB, License: mit, LLM Explorer Score: 0.32.

Arxiv:2602.15763 Base model:quantized:zai-org/g... Base model:zai-org/glm-5.3-fla... Conversational En Endpoints compatible Fp8 Glm5 next Image-text-to-text Region:us Safetensors Sharded Tensorflow Zh

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

GLM 5.3 Flash FP8 Parameters and Internals

LLM Name	GLM 5.3 Flash FP8
Repository 🤗	https://huggingface.co/unsloth/GLM-5.3-Flash-FP8
Base Model(s)	zai-org/GLM-5.3-Flash zai-org/GLM-5.3-Flash
Model Size	321.3b
Required VRAM	237.5 GB
Updated	2026-08-30
Maintainer	unsloth
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 5.4 GB: 44-of-62
Supported Languages	en zh
Model Architecture	Glm5NextForConditionalGeneration
License	mit
Transformers Version	5.16.0

Rank the GLM 5.3 Flash 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 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	557	10
... 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	374	2
GLM 5.3 Flash	0K / 242.5 GB	1034	15
GLM 5.3 Flash Derisked BF16	0K / 237.1 GB	386	9

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