What are the hardware requirements for GLM 5.3 Flashnt?

GLM 5.3 Flashnt 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 Flashnt and how large is it?

GLM 5.3 Flashnt is developed by nyxtesla, 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 Flashnt?

GLM 5.3 Flashnt is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLM 5.3 Flashnt by nyxtesla — VRAM 232.1GB

Name: GLM 5.3 Flashnt
Author: nyxtesla

GLM 5.3 Flashnt is an open-source language model by nyxtesla. Features: 321.3b LLM, VRAM: 232.1GB, License: mit, LLM Explorer Score: 0.28.

Arxiv:2602.15763 Conversational En Endpoints compatible Eval-results Fp8 Glm5 next Image-text-to-text Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/nyxtesla/GLM-5.3-Flashnt

GLM 5.3 Flashnt Parameters and Internals

LLM Name	GLM 5.3 Flashnt
Repository 🤗	https://huggingface.co/nyxtesla/GLM-5.3-Flashnt
Model Size	321.3b
Required VRAM	232.1 GB
Updated	2026-11-01
Maintainer	nyxtesla
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
Supported Languages	en zh
Model Architecture	Glm5NextForConditionalGeneration
License	mit
Transformers Version	5.16.0

Rank the GLM 5.3 Flashnt 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 Flashnt

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
GLM 5.3 Flash FP8	0K / 237.5 GB	5048	22
RED SNOW 5.3 FLASH BF16	0K / 215.5 GB	912	11
... 5.3 Flash CYBERSECURITY W4A16	0K / 71.6 GB	4022	8
GLM 5.3 Flash ABLITERATED FP8	0K / 226.7 GB	1465	18
... Flash MLX Serve IQ MLX 5.1bpw	0K / 202.8 GB	331	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 nyxtesla/GLM-5.3-Flashnt.