Skip to main content
Watch: I Built an AI App Without Leaving Databricks

Z.ai - Mixture of experts - verified

Run GLM-5.3-Flash locally

GLM-5.3-Flash is a 321.3B mixture-of-experts (18B active) model from Z.ai with a 1.05M-token context window, released under MIT (commercial use is allowed); the smallest listed download is 199.7 GB, the UD-Q4_K_XL GGUF build from unsloth/GLM-5.3-Flash-GGUF.

Official weights: zai-org/GLM-5.3-Flash - modalities: text, image

Total params
321.3B
Active params
18B
Context
1.05M
Smallest download
199.7 GB

Fits in

Smallest download at most 85% of memory

Downloads

The official weights and every quantization listed for this model, with file sizes from Hugging Face.

GLM-5.3-Flash downloads and file sizes
DownloadFormatSizeRepo
Official weightsFP8328.3 GBzai-org/GLM-5.3-Flash
UD-Q4_K_XLSmallest listedGGUF199.7 GBunsloth/GLM-5.3-Flash-GGUF
Q8_0GGUF341.0 GBunsloth/GLM-5.3-Flash-GGUF
4bitMLX204.0 GBmlx-community/GLM-5.3-Flash-4bit

GB is decimal: 1 GB = 10^9 bytes. Add memory for the context and the operating system on top of the file size.

Run it

The official pages read for this directory publish no copyable run command for GLM-5.3-Flash. Download the weights from zai-org/GLM-5.3-Flash and follow the model card's serving instructions.

Not sure which runtime to use? Compare local LLM runtimes by platform, API and features.

License

License
MITmit
Commercial use
Commercial use: YesCommercial use is allowed.
Gated download
No. The files download directly.

Worth knowing

Natively multimodal MoE with hybrid sparse and linear attention, 320B total and 18B active parameters per the card.

Released (per the announcement).

API pricing and specsHosted prices per 1M tokens for GLM-5.3-Flash, if you would rather not run it yourself.

FAQ

How big is the GLM-5.3-Flash download?

The official FP8 weights in zai-org/GLM-5.3-Flash are 328.3 GB. The smallest listed download is 199.7 GB, the UD-Q4_K_XL GGUF build from unsloth/GLM-5.3-Flash-GGUF. Plan for more memory than the file size: the context (KV cache) and the operating system need room too.

Can I use GLM-5.3-Flash commercially?

GLM-5.3-Flash is released under MIT, and commercial use is allowed. The license text is at https://huggingface.co/zai-org/GLM-5.3-Flash/blob/main/LICENSE.

How much memory do I need for GLM-5.3-Flash?

By this directory's rule of thumb it fits in 256 GB and up: the smallest listed download, 199.7 GB, is at most 85% of 256 GB, which leaves room for the context and the operating system.

What is the context length of GLM-5.3-Flash?

1,048,576 tokens. A longer context needs more memory for the KV cache, so you can run with a shorter one when memory is tight.

Sources

Last verified from the pages below.

Newsletter

New open weights, every week

One email per week. New model releases, open-weight drops and what they mean for what you build.