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

GLM 5.3 Flash DERISKED NVFP4 requires approximately 73.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

GLM 5.3 Flash DERISKED NVFP4 is developed by Blackfrost-AI, a model with 169.1b 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 DERISKED NVFP4?

GLM 5.3 Flash DERISKED 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 DERISKED NVFP4 by Blackfrost-AI — VRAM 73.1GB

Name: GLM 5.3 Flash DERISKED NVFP4
Author: Blackfrost-AI

GLM 5.3 Flash DERISKED NVFP4 is an open-source language model by Blackfrost-AI. Features: 169.1b LLM, VRAM: 73.1GB, License: mit, LLM Explorer Score: 0.29.

8-bit Adversarial-testing Base model:blackfrost-ai/glm-5... Base model:quantized:blackfros... Conversational De-risked En Endpoints compatible Enterprise Glm Glm-5.3-flash Glm5-next Glm5 next Image-text-to-text Mixture-of-experts Modelopt Moe Multimodal Nvfp4 Red-teaming Region:us Safetensors Security-research Sglang Sharded Tensorflow Zh

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

GLM 5.3 Flash DERISKED NVFP4 Parameters and Internals

LLM Name	GLM 5.3 Flash DERISKED NVFP4
Repository 🤗	https://huggingface.co/Blackfrost-AI/GLM-5.3-Flash-DERISKED-NVFP4
Base Model(s)	Blackfrost-Research/GLM-5.3-Flash-DERISKED-BF16 Blackfrost-Research/GLM-5.3-Flash-DERISKED-BF16
Model Size	169.1b
Required VRAM	73.1 GB
Updated	2026-08-31
Maintainer	Blackfrost-AI
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 1.8 GB: 43-of-120 1.5 GB: 44-of-120
Supported Languages	en zh
Model Architecture	Glm5NextForConditionalGeneration
License	mit
Transformers Version	5.16.0

Rank the GLM 5.3 Flash DERISKED 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 DERISKED NVFP4

Best Alternatives	Context / RAM	Downloads	Likes
GLM 5.3 Flash NVFP4	0K / 190.2 GB	7206	11
GLM 5.3 Flash W4A16 NVFP4	0K / 0.5 GB	469	0

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