What are the hardware requirements for GLM 5.3 Flash DERISKED BF16?

GLM 5.3 Flash DERISKED BF16 requires approximately 237.1 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 BF16 and how large is it?

GLM 5.3 Flash DERISKED 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 GLM 5.3 Flash DERISKED BF16?

GLM 5.3 Flash DERISKED BF16 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 BF16 by Blackfrost-AI — VRAM 237.1GB

Name: GLM 5.3 Flash DERISKED BF16
Author: Blackfrost-AI

GLM 5.3 Flash DERISKED BF16 is an open-source language model by Blackfrost-AI. Features: 321.3b LLM, VRAM: 237.1GB, License: other, LLM Explorer Score: 0.3.

Adversarial-testing Base model:finetune:zai-org/gl... Base model:zai-org/glm-5.3-fla... Bf16 Conversational De-risked En Endpoints compatible Enterprise Glm Glm-5.3-flash Glm5-next Glm5 next Image-text-to-text Mixture-of-experts Moe Multimodal Red-teaming Region:us Safetensors Security-research Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/Blackfrost-AI/GLM-5.3-Flash-DERISKED-BF16

GLM 5.3 Flash DERISKED BF16 Parameters and Internals

LLM Name	GLM 5.3 Flash DERISKED BF16
Repository 🤗	https://huggingface.co/Blackfrost-AI/GLM-5.3-Flash-DERISKED-BF16
Base Model(s)	zai-org/GLM-5.3-Flash-BF16 zai-org/GLM-5.3-Flash-BF16
Model Size	321.3b
Required VRAM	237.1 GB
Updated	2026-09-06
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 5.4 GB: 41-of-120 5.4 GB: 42-of-120 5.4 GB: 43-of-120 5.4 GB: 44-of-120
Supported Languages	en zh
Model Architecture	Glm5NextForConditionalGeneration
License	other
Transformers Version	5.16.0

Rank the GLM 5.3 Flash DERISKED 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 GLM 5.3 Flash DERISKED 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
GLM 5.3 Flash FP8	0K / 237.5 GB	5048	22
GLM 5.3 Flash Nota NVFP4	0K / 21 GB	160	17
GLM 5.3 Flash	0K / 242.5 GB	1034	15
...Flash MXFP4 Mixed CT AutoRound	0K / 67.4 GB	195	1
...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 Blackfrost-AI/GLM-5.3-Flash-DERISKED-BF16.