What are the hardware requirements for Glm Edge V 5B?

Glm Edge V 5B requires approximately 9.7 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Glm Edge V 5B and how large is it?

Glm Edge V 5B is developed by zai-org, a model with 5b 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 V 5B?

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

Glm Edge V 5B by zai-org — VRAM 9.7GB, 4K context

Name: Glm Edge V 5B
Author: zai-org

Glm Edge V 5B is an open-source language model by zai-org. Features: 5b LLM, VRAM: 9.7GB, Context: 4K, License: other, LLM Explorer Score: 0.16.

Conversational Custom code Edge Glm Image-text-to-text Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/zai-org/glm-edge-v-5b

Glm Edge V 5B Parameters and Internals

LLM Name	Glm Edge V 5B
Repository 🤗	https://huggingface.co/zai-org/glm-edge-v-5b
Model Size	5b
Required VRAM	9.7 GB
Updated	2026-08-08
Maintainer	zai-org
Model Type	glm
Model Files	5.0 GB: 1-of-2 4.7 GB: 2-of-2
Model Architecture	GlmForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.47.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	59264
Torch Data Type	bfloat16

Rank the Glm Edge V 5B 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