What are the hardware requirements for Glm Edge 4B Chat?

Glm Edge 4B Chat requires approximately 8.7 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Glm Edge 4B Chat and how large is it?

Glm Edge 4B Chat is developed by THUDM, a model with 4b 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 Edge 4B Chat?

Glm Edge 4B Chat is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Glm Edge 4B Chat by THUDM — VRAM 8.7GB, 8K context

Name: Glm Edge 4B Chat
Author: THUDM

Glm Edge 4B Chat is an open-source language model by THUDM. Features: 4b LLM, VRAM: 8.7GB, Context: 8K, License: other, LLM Explorer Score: 0.18.

Conversational Edge Glm Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/zai-org/glm-edge-4b-chat

Glm Edge 4B Chat Parameters and Internals

LLM Name	Glm Edge 4B Chat
Repository 🤗	https://huggingface.co/zai-org/glm-edge-4b-chat
Model Size	4b
Required VRAM	8.7 GB
Updated	2026-07-28
Maintainer	THUDM
Model Type	glm
Model Files	5.0 GB: 1-of-2 3.7 GB: 2-of-2
Model Architecture	GlmForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.47.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	59264
Torch Data Type	bfloat16

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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 Edge 4B Chat

Best Alternatives	Context / RAM	Downloads	Likes
Glm Edge 4B Chat	8K / 8.7 GB	1131	11