What are the hardware requirements for GLM 5.3 Flash FP4 Abliterated?

GLM 5.3 Flash FP4 Abliterated requires approximately 177.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5.3 Flash FP4 Abliterated and how large is it?

GLM 5.3 Flash FP4 Abliterated is developed by Piecrust, a model with 175.2b 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 FP4 Abliterated?

GLM 5.3 Flash FP4 Abliterated 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 FP4 Abliterated by Piecrust — VRAM 177.4GB

Name: GLM 5.3 Flash FP4 Abliterated
Author: Piecrust

GLM 5.3 Flash FP4 Abliterated is an open-source language model by Piecrust. Features: 175.2b LLM, VRAM: 177.4GB, License: other, LLM Explorer Score: 0.3.

8-bit Abliterated Base model:finetune:nvidia/glm... Base model:nvidia/glm-5.3-flas... Conversational Fp4 Glm-5 Glm5 next Image-text-to-text Modelopt Mxfp8 Nvfp4 Region:us Safetensors Sharded Tensorflow Uncensored Vllm

Model Card on HF 🤗: https://huggingface.co/Piecrust/GLM-5.3-Flash-FP4-Abliterated

GLM 5.3 Flash FP4 Abliterated Parameters and Internals

LLM Name	GLM 5.3 Flash FP4 Abliterated
Repository 🤗	https://huggingface.co/Piecrust/GLM-5.3-Flash-FP4-Abliterated
Base Model(s)	nvidia/GLM-5.3-Flash-FP4-Local nvidia/GLM-5.3-Flash-FP4-Local
Model Size	175.2b
Required VRAM	177.4 GB
Updated	2026-10-22
Maintainer	Piecrust
Model Type	glm5_next
Model Files	4.3 GB: 1-of-40 0.4 GB: 2-of-40 4.2 GB: 3-of-40 4.1 GB: 4-of-40 1.2 GB: 5-of-40 3.4 GB: 6-of-40 3.4 GB: 7-of-40 3.4 GB: 8-of-40 3.4 GB: 9-of-40 3.4 GB: 10-of-40 3.4 GB: 11-of-40 3.4 GB: 12-of-40 3.4 GB: 13-of-40 3.4 GB: 14-of-40 5.1 GB: 15-of-40 5.1 GB: 16-of-40 5.1 GB: 17-of-40 5.1 GB: 18-of-40 5.1 GB: 19-of-40 5.1 GB: 20-of-40 5.1 GB: 21-of-40 5.1 GB: 22-of-40 5.1 GB: 23-of-40 5.1 GB: 24-of-40 5.1 GB: 25-of-40 5.1 GB: 26-of-40 5.1 GB: 27-of-40 5.1 GB: 28-of-40 5.1 GB: 29-of-40 5.1 GB: 30-of-40 5.1 GB: 31-of-40 5.1 GB: 32-of-40 5.1 GB: 33-of-40 5.1 GB: 34-of-40 5.1 GB: 35-of-40 5.1 GB: 36-of-40 5.1 GB: 37-of-40 5.1 GB: 38-of-40 5.1 GB: 39-of-40 5.1 GB: 40-of-40 0.0 GB
Model Architecture	Glm5NextForConditionalGeneration
License	other
Transformers Version	5.16.0

Rank the GLM 5.3 Flash FP4 Abliterated 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 FP4 Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
GLM 5.3 Flash FP4 Local	0K / 177.4 GB	3548	111
....3 Flash Abliterated FP4 Local	0K / 177.4 GB	102	2

Note: green Score (e.g. "73.2") means that the model is better than Piecrust/GLM-5.3-Flash-FP4-Abliterated.