What are the hardware requirements for GLM 4.5 Air AWQ 4bit?

GLM 4.5 Air AWQ 4bit requires approximately 63.4 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 AWQ 4bit and how large is it?

GLM 4.5 Air AWQ 4bit is developed by cyankiwi, a model with 18.6b 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 AWQ 4bit?

GLM 4.5 Air AWQ 4bit 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 AWQ 4bit by cyankiwi — VRAM 63.4GB, 128K context

Name: GLM 4.5 Air AWQ 4bit
Author: cyankiwi

GLM 4.5 Air AWQ 4bit is an open-source language model by cyankiwi. Features: 18.6b LLM, VRAM: 63.4GB, Context: 128K, License: mit, Quantized, LLM Explorer Score: 0.24.

Arxiv:2508.06471 4bit Awq Base model:quantized:zai-org/g... Base model:zai-org/glm-4.5-air Compressed-tensors Conversational En Endpoints compatible Glm4 moe Quantized Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/cyankiwi/GLM-4.5-Air-AWQ-4bit

GLM 4.5 Air AWQ 4bit Parameters and Internals

LLM Name	GLM 4.5 Air AWQ 4bit
Repository 🤗	https://huggingface.co/cyankiwi/GLM-4.5-Air-AWQ-4bit
Base Model(s)	zai-org/GLM-4.5-Air zai-org/GLM-4.5-Air
Model Size	18.6b
Required VRAM	63.4 GB
Updated	2026-08-05
Maintainer	cyankiwi
Model Type	glm4_moe
Model Files	5.0 GB: 1-of-13 5.0 GB: 2-of-13 5.0 GB: 3-of-13 5.0 GB: 4-of-13 5.0 GB: 5-of-13 5.0 GB: 6-of-13 5.0 GB: 7-of-13 5.0 GB: 8-of-13 5.0 GB: 9-of-13 5.0 GB: 10-of-13 5.0 GB: 11-of-13 5.0 GB: 12-of-13 3.4 GB: 13-of-13
Supported Languages	en zh
AWQ Quantization	Yes
Quantization Type	awq\|4bit
Model Architecture	Glm4MoeForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	151552

Rank the GLM 4.5 Air AWQ 4bit 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 4.5 Air AWQ 4bit

Best Alternatives	Context / RAM	Downloads	Likes
GLM 4.5 Air AWQ 4bit	128K / 63.4 GB	295843	24

Note: green Score (e.g. "73.2") means that the model is better than cyankiwi/GLM-4.5-Air-AWQ-4bit.