What are the hardware requirements for GLM 5?

GLM 5 requires approximately 220.3 GB of VRAM and supports a context window of 198K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GLM 5 and how large is it?

GLM 5 is developed by mlx-community, a model with 743.9b 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 5?

GLM 5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GLM 5 by mlx-community — VRAM 220.3GB, 198K context

Name: GLM 5
Author: mlx-community

GLM 5 is an open-source language model by mlx-community. Features: 743.9b LLM, VRAM: 220.3GB, Context: 198K, License: mit, MoE, LLM Explorer Score: 0.23.

Base model:finetune:zai-org/gl... Base model:zai-org/glm-5 Conversational En Glm moe dsa Mlx Moe Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/mlx-community/GLM-5

GLM 5 Parameters and Internals

LLM Name	GLM 5
Repository 🤗	https://huggingface.co/mlx-community/GLM-5
Base Model(s)	GLM 5 zai-org/GLM-5
Model Size	743.9b
Required VRAM	220.3 GB
Updated	2026-07-08
Maintainer	mlx-community
Model Type	glm_moe_dsa
Model Files	4.7 GB: 1-of-301 6.4 GB: 2-of-301 6.4 GB: 3-of-301 6.4 GB: 4-of-301 0.4 GB: 5-of-301 6.4 GB: 6-of-301 6.4 GB: 7-of-301 6.4 GB: 8-of-301 0.4 GB: 9-of-301 6.4 GB: 10-of-301 6.4 GB: 11-of-301 6.4 GB: 12-of-301 0.4 GB: 13-of-301 6.4 GB: 14-of-301 6.4 GB: 15-of-301 6.4 GB: 16-of-301 0.4 GB: 17-of-301 6.4 GB: 18-of-301 6.4 GB: 19-of-301 6.4 GB: 20-of-301 0.4 GB: 21-of-301 6.4 GB: 22-of-301 6.4 GB: 23-of-301 6.4 GB: 24-of-301 0.4 GB: 25-of-301 6.4 GB: 26-of-301 6.4 GB: 27-of-301 6.4 GB: 28-of-301 0.4 GB: 29-of-301 6.4 GB: 30-of-301 6.4 GB: 31-of-301 6.4 GB: 32-of-301 0.4 GB: 33-of-301 6.4 GB: 34-of-301 6.4 GB: 35-of-301 6.4 GB: 36-of-301 0.4 GB: 37-of-301 6.4 GB: 38-of-301 6.4 GB: 39-of-301 6.4 GB: 40-of-301 0.4 GB: 41-of-301 6.4 GB: 42-of-301 6.4 GB: 43-of-301 6.4 GB: 44-of-301 0.4 GB: 45-of-301
Supported Languages	en zh
Model Architecture	GlmMoeDsaForCausalLM
License	mit
Context Length	202752
Model Max Length	202752
Transformers Version	5.0.2.dev0
Vocabulary Size	154880

Rank the GLM 5 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

Best Alternatives	Context / RAM	Downloads	Likes
GLM 5.1	198K / 220.3 GB	3662	5
GLM 5.1 DQ4plus Q8	198K / 186.2 GB	1692	6
GLM 5 4bit	198K / 210.3 GB	1115	7
GLM 5 MXFP4 Q8	198K / 241.8 GB	172	1
GLM 5.1 MXFP4 Q8	198K / 241.8 GB	2733	4

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/GLM-5.