What are the hardware requirements for GLM 4.5V Abliterated 8bit?

GLM 4.5V Abliterated 8bit requires approximately 115.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 4.5V Abliterated 8bit and how large is it?

GLM 4.5V Abliterated 8bit is developed by mlx-community. 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 4.5V Abliterated 8bit?

GLM 4.5V Abliterated 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLM 4.5V Abliterated 8bit by mlx-community — VRAM 115.8GB

Name: GLM 4.5V Abliterated 8bit
Author: mlx-community

GLM 4.5V Abliterated 8bit is an open-source language model by mlx-community. Features: LLM, VRAM: 115.8GB, License: mit, Quantized, LLM Explorer Score: 0.2.

8-bit 8bit Abliterated Base model:quantized:zai-org/g... Base model:zai-org/glm-4.5v Conversational En Endpoints compatible Glm4v moe Image-text-to-text Mlx Quantized Region:us Safetensors Sharded Tensorflow Uncensored Zh

Model Card on HF 🤗: https://huggingface.co/mlx-community/GLM-4.5V-abliterated-8bit

GLM 4.5V Abliterated 8bit Parameters and Internals

LLM Name	GLM 4.5V Abliterated 8bit
Repository 🤗	https://huggingface.co/mlx-community/GLM-4.5V-abliterated-8bit
Base Model(s)	zai-org/GLM-4.5V zai-org/GLM-4.5V
Required VRAM	115.8 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	glm4v_moe
Model Files	5.2 GB: 1-of-24 5.0 GB: 2-of-24 5.0 GB: 3-of-24 5.0 GB: 4-of-24 5.0 GB: 5-of-24 5.0 GB: 6-of-24 5.0 GB: 7-of-24 5.0 GB: 8-of-24 5.0 GB: 9-of-24 5.0 GB: 10-of-24 5.0 GB: 11-of-24 5.0 GB: 12-of-24 5.0 GB: 13-of-24 5.0 GB: 14-of-24 5.0 GB: 15-of-24 5.0 GB: 16-of-24 5.0 GB: 17-of-24 5.0 GB: 18-of-24 5.0 GB: 19-of-24 5.0 GB: 20-of-24 5.0 GB: 21-of-24 5.0 GB: 22-of-24 4.9 GB: 23-of-24 0.7 GB: 24-of-24
Supported Languages	zh en
Quantization Type	8bit
Model Architecture	Glm4vMoeForConditionalGeneration
License	mit
Model Max Length	128000
Transformers Version	4.55.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>

Rank the GLM 4.5V Abliterated 8bit capabilities

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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 4.5V Abliterated 8bit

Best Alternatives	Context / RAM	Downloads	Likes
GLM 4.6V 4bit	0K / 62.1 GB	119	5
GLM 4.5V Abliterated 4bit	0K / 62.1 GB	62	1

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/GLM-4.5V-abliterated-8bit.