What are the hardware requirements for RED SNOW 5.3 FLASH NVFP4?

RED SNOW 5.3 FLASH NVFP4 requires approximately 204.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed RED SNOW 5.3 FLASH NVFP4 and how large is it?

RED SNOW 5.3 FLASH NVFP4 is developed by Blackfrost-AI, a model with 161.5b 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 RED SNOW 5.3 FLASH NVFP4?

RED SNOW 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.

RED SNOW 5.3 FLASH NVFP4 by Blackfrost-AI — VRAM 204.3GB

Name: RED SNOW 5.3 FLASH NVFP4
Author: Blackfrost-AI

RED SNOW 5.3 FLASH NVFP4 is an open-source language model by Blackfrost-AI. Features: 161.5b LLM, VRAM: 204.3GB, License: mit, LLM Explorer Score: 0.32.

8-bit Adversary-emulation Base model:blackfrost-ai/red-s... Base model:quantized:blackfros... Conversational Cyber-frost-harness Cybersecurity En Endpoints compatible Glm-5.3 Glm5 next Image-text-to-text Modelopt Nvfp4 Offensive-security Quantized Reasoning Red-team Region:us Safetensors Sglang Sharded Tensorflow Tool-use

Model Card on HF 🤗: https://huggingface.co/Blackfrost-AI/RED-SNOW-5.3-FLASH-NVFP4

RED SNOW 5.3 FLASH NVFP4 Parameters and Internals

LLM Name	RED SNOW 5.3 FLASH NVFP4
Repository 🤗	https://huggingface.co/Blackfrost-AI/RED-SNOW-5.3-FLASH-NVFP4
Base Model(s)	Blackfrost-AI/RED-SNOW-5.3-FLASH-BF16 Blackfrost-AI/RED-SNOW-5.3-FLASH-BF16
Model Size	161.5b
Required VRAM	204.3 GB
Updated	2026-10-14
Maintainer	Blackfrost-AI
Model Type	glm5_next
Model Files	10.0 GB: 1-of-21 10.0 GB: 2-of-21 9.9 GB: 3-of-21 10.0 GB: 4-of-21 10.0 GB: 5-of-21 10.0 GB: 6-of-21 10.0 GB: 7-of-21 10.0 GB: 8-of-21 10.0 GB: 9-of-21 10.0 GB: 10-of-21 10.0 GB: 11-of-21 10.0 GB: 12-of-21 10.0 GB: 13-of-21 9.9 GB: 14-of-21 10.0 GB: 15-of-21 10.0 GB: 16-of-21 10.0 GB: 17-of-21 10.0 GB: 18-of-21 10.0 GB: 19-of-21 10.0 GB: 20-of-21 4.5 GB: 21-of-21 0.2 GB
Supported Languages	en
Model Architecture	Glm5NextForConditionalGeneration
License	mit
Model Max Length	1048576
Transformers Version	5.16.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>

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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