What are the hardware requirements for GLM 5.3 Flash Nota NVFP4?

GLM 5.3 Flash Nota NVFP4 requires approximately 21 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

GLM 5.3 Flash Nota NVFP4 is developed by nota-ai, 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 Nota NVFP4?

GLM 5.3 Flash Nota 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 Nota NVFP4 by nota-ai — VRAM 21GB

Name: GLM 5.3 Flash Nota NVFP4
Author: nota-ai

GLM 5.3 Flash Nota NVFP4 is an open-source language model by nota-ai. Features: 321.3b LLM, VRAM: 21GB, License: mit, LLM Explorer Score: 0.37.

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

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

GLM 5.3 Flash Nota NVFP4 Parameters and Internals

LLM Name	GLM 5.3 Flash Nota NVFP4
Repository 🤗	https://huggingface.co/nota-ai/GLM-5.3-Flash-Nota-NVFP4
Base Model(s)	zai-org/GLM-5.3-Flash-BF16 zai-org/GLM-5.3-Flash-BF16
Model Size	321.3b
Required VRAM	21 GB
Updated	2026-09-02
Maintainer	nota-ai
Model Type	glm5_next
Model Files	0.5 GB: 1-of-386 0.5 GB: 2-of-386 0.5 GB: 3-of-386 0.5 GB: 4-of-386 0.5 GB: 5-of-386 0.5 GB: 6-of-386 0.5 GB: 7-of-386 0.3 GB: 8-of-386 0.5 GB: 9-of-386 0.5 GB: 10-of-386 0.5 GB: 11-of-386 0.5 GB: 12-of-386 0.5 GB: 13-of-386 0.5 GB: 14-of-386 0.5 GB: 15-of-386 0.3 GB: 16-of-386 0.5 GB: 17-of-386 0.5 GB: 18-of-386 0.5 GB: 19-of-386 0.5 GB: 20-of-386 0.5 GB: 21-of-386 0.5 GB: 22-of-386 0.5 GB: 23-of-386 0.3 GB: 24-of-386 0.5 GB: 25-of-386 0.5 GB: 26-of-386 0.5 GB: 27-of-386 0.5 GB: 28-of-386 0.5 GB: 29-of-386 0.5 GB: 30-of-386 0.5 GB: 31-of-386 0.3 GB: 32-of-386 0.5 GB: 33-of-386 0.5 GB: 34-of-386 0.5 GB: 35-of-386 0.5 GB: 36-of-386 0.5 GB: 37-of-386 0.5 GB: 38-of-386 0.5 GB: 39-of-386 0.3 GB: 40-of-386 0.5 GB: 41-of-386 0.5 GB: 42-of-386 0.5 GB: 43-of-386 0.5 GB: 44-of-386
Supported Languages	en zh ko
Model Architecture	Glm5NextForConditionalGeneration
License	mit
Transformers Version	5.16.1

Rank the GLM 5.3 Flash Nota 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 Nota 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
GLM 5.3 Flash	0K / 242.5 GB	1034	15
...Flash MXFP4 Mixed CT AutoRound	0K / 67.4 GB	195	1
GLM 5.3 Flash DERISKED BF16	0K / 237.1 GB	127	2
...Flash Abliterated Experimental	0K / 471.3 GB	69	3
GLM 5.3 Flash W4A16	0K / 73.1 GB	53	1
Jah 5.0	0K / 237.5 GB	14	1
GLM 5.3 Flash DERISKED BF16	0K / 237.1 GB	0	2

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