What are the hardware requirements for GLM 5.3 Flash NVFP4?

GLM 5.3 Flash NVFP4 requires approximately 69.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5.3 Flash NVFP4 and how large is it?

GLM 5.3 Flash NVFP4 is developed by dabsLabs, 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 NVFP4?

GLM 5.3 Flash NVFP4 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 NVFP4 by dabsLabs — VRAM 69.8GB

Name: GLM 5.3 Flash NVFP4
Author: dabsLabs

GLM 5.3 Flash NVFP4 is an open-source language model by dabsLabs. Features: 321.3b LLM, VRAM: 69.8GB, License: mit, LLM Explorer Score: 0.27.

8-bit Base model:quantized:zai-org/g... Base model:zai-org/glm-5.3-fla... Blackwell Compressed-tensors Conversational En Glm5 next Image-text-to-text Moe Multimodal Nvfp4 Region:us Safetensors Sharded Tensorflow Vllm Zh

Model Card on HF 🤗: https://huggingface.co/dabsLabs/GLM-5.3-Flash-NVFP4

GLM 5.3 Flash NVFP4 Parameters and Internals

LLM Name	GLM 5.3 Flash NVFP4
Repository 🤗	https://huggingface.co/dabsLabs/GLM-5.3-Flash-NVFP4
Base Model(s)	zai-org/GLM-5.3-Flash zai-org/GLM-5.3-Flash
Model Size	321.3b
Required VRAM	69.8 GB
Updated	2026-09-13
Maintainer	dabsLabs
Model Type	glm5_next
Model Files	4.2 GB: 1-of-120 1.5 GB: 2-of-120 1.5 GB: 3-of-120 1.8 GB: 4-of-120 1.5 GB: 5-of-120 1.5 GB: 6-of-120 1.7 GB: 7-of-120 1.5 GB: 8-of-120 1.8 GB: 9-of-120 1.5 GB: 10-of-120 1.5 GB: 11-of-120 1.8 GB: 12-of-120 1.5 GB: 13-of-120 1.5 GB: 14-of-120 1.8 GB: 15-of-120 1.5 GB: 16-of-120 1.5 GB: 17-of-120 1.7 GB: 18-of-120 1.5 GB: 19-of-120 1.6 GB: 20-of-120 1.6 GB: 21-of-120 1.5 GB: 22-of-120 1.8 GB: 23-of-120 1.5 GB: 24-of-120 1.5 GB: 25-of-120 1.8 GB: 26-of-120 1.5 GB: 27-of-120 1.5 GB: 28-of-120 2.1 GB: 29-of-120 1.5 GB: 30-of-120 1.5 GB: 31-of-120 1.8 GB: 32-of-120 1.5 GB: 33-of-120 1.8 GB: 34-of-120 1.5 GB: 35-of-120 1.5 GB: 36-of-120 1.8 GB: 37-of-120 1.5 GB: 38-of-120 1.5 GB: 39-of-120 1.7 GB: 40-of-120 1.5 GB: 41-of-120 1.5 GB: 42-of-120
Supported Languages	en zh
Model Architecture	Glm5NextForConditionalGeneration
License	mit
Transformers Version	5.16.0

Rank the GLM 5.3 Flash NVFP4 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 NVFP4

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
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	0K / 242.5 GB	1034	15
GLM 5.3 Flash Nota NVFP4	0K / 21 GB	160	17
Cyberneurova GLM 5.3 Flash FP8	0K / 242.9 GB	183	2
GLM 5.3 Flash DERISKED BF16	0K / 237.1 GB	273	4
...Flash MXFP4 Mixed CT AutoRound	0K / 67.4 GB	195	1

Note: green Score (e.g. "73.2") means that the model is better than dabsLabs/GLM-5.3-Flash-NVFP4.