What are the hardware requirements for GLM 4.5 Air 8bit?

GLM 4.5 Air 8bit requires approximately 114.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

GLM 4.5 Air 8bit is developed by mlx-community, a model with 106.9b 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 4.5 Air 8bit?

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

GLM 4.5 Air 8bit by mlx-community — VRAM 114.1GB, 128K context

Name: GLM 4.5 Air 8bit
Author: mlx-community

GLM 4.5 Air 8bit is an open-source language model by mlx-community. Features: 106.9b LLM, VRAM: 114.1GB, Context: 128K, License: mit, Quantized, LLM Explorer Score: 0.22.

8-bit 8bit Base model:quantized:zai-org/g... Base model:zai-org/glm-4.5-air Conversational En Glm4 moe Mlx Quantized Region:us Safetensors Sharded Tensorflow Zh

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

GLM 4.5 Air 8bit Parameters and Internals

LLM Name	GLM 4.5 Air 8bit
Repository 🤗	https://huggingface.co/mlx-community/GLM-4.5-Air-8bit
Base Model(s)	zai-org/GLM-4.5-Air zai-org/GLM-4.5-Air
Model Size	106.9b
Required VRAM	114.1 GB
Updated	2026-08-07
Maintainer	mlx-community
Model Type	glm4_moe
Model Files	5.1 GB: 1-of-23 5.0 GB: 2-of-23 5.0 GB: 3-of-23 5.0 GB: 4-of-23 5.0 GB: 5-of-23 5.0 GB: 6-of-23 5.0 GB: 7-of-23 5.0 GB: 8-of-23 5.0 GB: 9-of-23 5.0 GB: 10-of-23 5.0 GB: 11-of-23 5.0 GB: 12-of-23 5.0 GB: 13-of-23 5.0 GB: 14-of-23 5.0 GB: 15-of-23 5.0 GB: 16-of-23 5.0 GB: 17-of-23 5.0 GB: 18-of-23 5.0 GB: 19-of-23 5.0 GB: 20-of-23 5.0 GB: 21-of-23 5.0 GB: 22-of-23 4.0 GB: 23-of-23
Supported Languages	en zh
Quantization Type	8bit
Model Architecture	Glm4MoeForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.54.0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151552
Torch Data Type	bfloat16

Rank the GLM 4.5 Air 8bit 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 4.5 Air 8bit

Best Alternatives	Context / RAM	Downloads	Likes
INTELLECT 3 4bit	128K / 60.4 GB	14	3
INTELLECT 3 5bit	128K / 73.4 GB	6	1
GLM 4.5 Air 2bit	128K / 33.4 GB	107	4
GLM 4.5 Air 4bit	128K / 60.4 GB	1261	28
GLM 4.5 Air 3bit	128K / 46.6 GB	621	32
GLM 4.5 Air 6bit	128K / 86.7 GB	201	3
GLM 4.5 Air 3bit DWQ V2	128K / 46.6 GB	82	4
GLM 4.5 Air 3bit DWQ	128K / 53.3 GB	50	4
GLM 4.5 Air 2bit DWQ	128K / 40.2 GB	28	2
INTELLECT 3	128K / 194.3 GB	6275	216

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