What are the hardware requirements for RED SNOW 5.3 FLASH BF16?

RED SNOW 5.3 FLASH BF16 requires approximately 215.5 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 BF16 and how large is it?

RED SNOW 5.3 FLASH BF16 is developed by Blackfrost-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 RED SNOW 5.3 FLASH BF16?

RED SNOW 5.3 FLASH BF16 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 BF16 by Blackfrost-AI — VRAM 215.5GB

Name: RED SNOW 5.3 FLASH BF16
Author: Blackfrost-AI

RED SNOW 5.3 FLASH BF16 is an open-source language model by Blackfrost-AI. Features: 321.3b LLM, VRAM: 215.5GB, License: mit, LLM Explorer Score: 0.33.

Adversary-emulation Base model:finetune:zai-org/gl... Base model:zai-org/glm-5.3-fla... Bf16 Conversational Cyber-frost-harness Cybersecurity En Endpoints compatible Glm-5.3 Glm5 next Image-text-to-text Offensive-security 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-BF16

RED SNOW 5.3 FLASH BF16 Parameters and Internals

LLM Name	RED SNOW 5.3 FLASH BF16
Repository 🤗	https://huggingface.co/Blackfrost-AI/RED-SNOW-5.3-FLASH-BF16
Base Model(s)	zai-org/GLM-5.3-Flash-BF16 zai-org/GLM-5.3-Flash-BF16
Model Size	321.3b
Required VRAM	215.5 GB
Updated	2026-10-10
Maintainer	Blackfrost-AI
Model Type	glm5_next
Model Files	5.4 GB: 1-of-120 5.4 GB: 2-of-120 5.4 GB: 3-of-120 5.4 GB: 4-of-120 5.4 GB: 5-of-120 5.4 GB: 6-of-120 5.3 GB: 7-of-120 5.4 GB: 8-of-120 5.4 GB: 9-of-120 5.4 GB: 10-of-120 5.4 GB: 11-of-120 5.4 GB: 12-of-120 5.4 GB: 13-of-120 5.4 GB: 14-of-120 5.4 GB: 15-of-120 5.4 GB: 16-of-120 5.4 GB: 17-of-120 5.3 GB: 18-of-120 5.4 GB: 19-of-120 5.3 GB: 20-of-120 5.3 GB: 21-of-120 5.4 GB: 22-of-120 5.4 GB: 23-of-120 5.4 GB: 24-of-120 5.4 GB: 25-of-120 5.4 GB: 26-of-120 5.4 GB: 27-of-120 5.4 GB: 28-of-120 5.4 GB: 29-of-120 5.4 GB: 30-of-120 5.4 GB: 31-of-120 5.4 GB: 32-of-120 5.4 GB: 33-of-120 5.4 GB: 34-of-120 5.4 GB: 35-of-120 5.4 GB: 36-of-120 5.4 GB: 37-of-120 5.4 GB: 38-of-120 5.4 GB: 39-of-120 5.3 GB: 40-of-120
Supported Languages	en
Model Architecture	Glm5NextForConditionalGeneration
License	mit
Transformers Version	5.16.0

Rank the RED SNOW 5.3 FLASH BF16 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 RED SNOW 5.3 FLASH BF16

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
... 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 OQ2e Mtp	0K / 110.4 GB	218	1
GLM 5.3 Flash Nota NVFP4	0K / 21 GB	160	17

Note: green Score (e.g. "73.2") means that the model is better than Blackfrost-AI/RED-SNOW-5.3-FLASH-BF16.