What are the hardware requirements for GLM 5.3 Flash ABLITERATED FP8?

GLM 5.3 Flash ABLITERATED FP8 requires approximately 226.7 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 FP8 and how large is it?

GLM 5.3 Flash ABLITERATED FP8 is developed by dealignai, 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 FP8?

GLM 5.3 Flash ABLITERATED FP8 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 FP8 by dealignai — VRAM 226.7GB

Name: GLM 5.3 Flash ABLITERATED FP8
Author: dealignai

GLM 5.3 Flash ABLITERATED FP8 is an open-source language model by dealignai. Features: 321.3b LLM, VRAM: 226.7GB, License: mit, LLM Explorer Score: 0.33.

Abliterated Base model:quantized:zai-org/g... Base model:zai-org/glm-5.3-fla... Crack En Fp8 Glm Glm5 next Moe Mtp Refusal-removed Region:us Safetensors Sharded Tensorflow Uncensored Vision

Model Card on HF 🤗: https://huggingface.co/dealignai/GLM-5.3-Flash-ABLITERATED-FP8

GLM 5.3 Flash ABLITERATED FP8 Parameters and Internals

LLM Name	GLM 5.3 Flash ABLITERATED FP8
Repository 🤗	https://huggingface.co/dealignai/GLM-5.3-Flash-ABLITERATED-FP8
Base Model(s)	zai-org/GLM-5.3-Flash zai-org/GLM-5.3-Flash
Model Size	321.3b
Required VRAM	226.7 GB
Updated	2026-09-15
Maintainer	dealignai
Model Type	glm5_next
Model Files	5.4 GB: 1-of-62 5.3 GB: 2-of-62 5.4 GB: 3-of-62 5.4 GB: 4-of-62 5.4 GB: 5-of-62 5.4 GB: 6-of-62 5.4 GB: 7-of-62 5.4 GB: 8-of-62 5.4 GB: 9-of-62 5.4 GB: 10-of-62 5.4 GB: 11-of-62 5.4 GB: 12-of-62 5.4 GB: 13-of-62 5.4 GB: 14-of-62 5.4 GB: 15-of-62 5.4 GB: 16-of-62 5.4 GB: 17-of-62 5.4 GB: 18-of-62 5.4 GB: 19-of-62 5.4 GB: 20-of-62 5.4 GB: 21-of-62 5.4 GB: 22-of-62 5.4 GB: 23-of-62 5.4 GB: 24-of-62 5.4 GB: 25-of-62 5.4 GB: 26-of-62 5.4 GB: 27-of-62 5.4 GB: 28-of-62 5.4 GB: 29-of-62 5.4 GB: 30-of-62 5.4 GB: 31-of-62 5.4 GB: 32-of-62 5.4 GB: 33-of-62 5.4 GB: 34-of-62 5.4 GB: 35-of-62 5.4 GB: 36-of-62 5.4 GB: 37-of-62 5.4 GB: 38-of-62 5.4 GB: 39-of-62 5.4 GB: 40-of-62 5.4 GB: 41-of-62 5.4 GB: 42-of-62
Supported Languages	en
Model Architecture	Glm5NextForConditionalGeneration
License	mit
Transformers Version	5.16.0

Rank the GLM 5.3 Flash ABLITERATED FP8 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 FP8

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	273	4
...Flash MXFP4 Mixed CT AutoRound	0K / 67.4 GB	195	1
...yberneurova GLM 5.3 Flash BF16	0K / 471.3 GB	68	1

Note: green Score (e.g. "73.2") means that the model is better than dealignai/GLM-5.3-Flash-ABLITERATED-FP8.