What are the hardware requirements for GLM 5.3 Flash Abliterated Experimental?

GLM 5.3 Flash Abliterated Experimental requires approximately 471.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5.3 Flash Abliterated Experimental and how large is it?

GLM 5.3 Flash Abliterated Experimental is developed by SicariusSicariiStuff, 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 Abliterated Experimental?

GLM 5.3 Flash Abliterated Experimental 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 Abliterated Experimental by SicariusSicariiStuff — VRAM 471.3GB

Name: GLM 5.3 Flash Abliterated Experimental
Author: SicariusSicariiStuff

GLM 5.3 Flash Abliterated Experimental is an open-source language model by SicariusSicariiStuff. Features: 321.3b LLM, VRAM: 471.3GB, License: mit, LLM Explorer Score: 0.28.

Base model:finetune:zai-org/gl... Base model:zai-org/glm-5.3-fla... Conversational Endpoints compatible Glm-5.3-flash Glm5 next Image-text-to-text Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Sica-Cold-Storage-1/GLM_5.3_Flash_Abliterated_Experimental

GLM 5.3 Flash Abliterated Experimental Parameters and Internals

LLM Name	GLM 5.3 Flash Abliterated Experimental
Repository 🤗	https://huggingface.co/Sica-Cold-Storage-1/GLM_5.3_Flash_Abliterated_Experimental
Base Model(s)	zai-org/GLM-5.3-Flash zai-org/GLM-5.3-Flash
Model Size	321.3b
Required VRAM	471.3 GB
Updated	2026-09-01
Maintainer	SicariusSicariiStuff
Model Type	glm5_next
Model Files	8.1 GB: 1-of-62 10.2 GB: 2-of-62 10.5 GB: 3-of-62 10.4 GB: 4-of-62 10.7 GB: 5-of-62 10.7 GB: 6-of-62 10.4 GB: 7-of-62 10.4 GB: 8-of-62 10.7 GB: 9-of-62 10.4 GB: 10-of-62 10.7 GB: 11-of-62 10.4 GB: 12-of-62 10.7 GB: 13-of-62 10.4 GB: 14-of-62 10.4 GB: 15-of-62 10.7 GB: 16-of-62 10.4 GB: 17-of-62 10.4 GB: 18-of-62 10.4 GB: 19-of-62 10.7 GB: 20-of-62 10.4 GB: 21-of-62 10.7 GB: 22-of-62 10.7 GB: 23-of-62 10.4 GB: 24-of-62 10.4 GB: 25-of-62 10.4 GB: 26-of-62 10.7 GB: 27-of-62 10.7 GB: 28-of-62 10.4 GB: 29-of-62 10.7 GB: 30-of-62 10.4 GB: 31-of-62 10.7 GB: 32-of-62 10.4 GB: 33-of-62 10.7 GB: 34-of-62 10.7 GB: 35-of-62 10.4 GB: 36-of-62 10.7 GB: 37-of-62 10.4 GB: 38-of-62 10.4 GB: 39-of-62 10.7 GB: 40-of-62 10.7 GB: 41-of-62 10.4 GB: 42-of-62 10.4 GB: 43-of-62 10.7 GB: 44-of-62 10.4 GB: 45-of-62
Model Architecture	Glm5NextForConditionalGeneration
License	mit
Transformers Version	5.16.0
Torch Data Type	float16

Rank the GLM 5.3 Flash Abliterated Experimental 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 Abliterated Experimental

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
... 5.3 Flash CYBERSECURITY W4A16	0K / 71.6 GB	4022	8
GLM 5.3 Flash	0K / 242.5 GB	1034	15
GLM 5.3 Flash Nota NVFP4	0K / 21 GB	160	17
Cyberneurova GLM 5.3 Flash FP8	0K / 242.9 GB	183	2
GLM 5.3 Flash DERISKED BF16	0K / 237.1 GB	226	3
...Flash MXFP4 Mixed CT AutoRound	0K / 67.4 GB	195	1
GLM 5.3 Flash NVFP4	0K / 69.8 GB	143	0

Note: green Score (e.g. "73.2") means that the model is better than Sica-Cold-Storage-1/GLM_5.3_Flash_Abliterated_Experimental.