# GLM-5.3-Flash: RAM and VRAM requirements

> GLM-5.3-Flash is a 320B GLM model (Mixture-of-Experts, 18B active per token). At Q4_K_M it needs about **204.8 GB** to run and fits **0 of 43** tracked devices. Minimum to run: high-memory hardware.

Last validated: 2026-09-07. Sources: Ollama, HuggingFace GGUF repos, vendor specs.

## Memory by quantization
| Quant | On disk | To run (4k context) |
| --- | --- | --- |
| Q4_K_M | 199.71 GB | ~204.8 GB |
| Q8_0 | 317.56 GB | ~322.7 GB |
| FP16 | 642.81 GB | ~647.9 GB |

Memory = weights + KV cache + ~0.8 GB runtime overhead, and varies ±15% with context length.

## Will it run on my device?
- **Nvidia GeForce RTX 2060 (6GB)** (6 GB): No, not enough memory
- **Generic Android Phone (8GB RAM)** (8 GB): No, not enough memory
- **Samsung Galaxy S24 Ultra** (12 GB): No, not enough memory
- **Nvidia GeForce RTX 4060 Ti (16GB)** (16 GB): No, not enough memory
- **Apple M5 (16GB)** (16 GB): No, not enough memory
- **Nvidia GeForce RTX 4090 (24GB)** (24 GB): No, not enough memory
- **Apple M4 Pro (48GB)** (48 GB): No, not enough memory
- **Apple M3 Ultra (256GB)** (256 GB): No, not enough memory

Full table of all 43 devices: https://localmodel.run/model/glm-5.3-flash

## How to run
Use LM Studio (Mac/Windows) or Ollama / vLLM (Linux).

## Details
- Parameters: 320B (MoE, 18B active per token)
- Default context: 1000k tokens
- License: MIT (commercial use: yes)
- Released: 2026-08
- HuggingFace: 784,005 downloads/mo, 2118 likes

## FAQ
### How much VRAM or RAM does GLM-5.3-Flash need?
About 204.8 GB at Q4_K_M (weights 199.71 GB + KV cache + overhead) at a 4k context. Budget ~322.7 GB for Q8_0.
### Can GLM-5.3-Flash run on a laptop?
GLM-5.3-Flash is large; you need a high-memory Mac or a 24 GB+ GPU at Q4_K_M.
### Can I use GLM-5.3-Flash commercially?
Yes, MIT permits commercial use.

Sources: https://huggingface.co/zai-org/GLM-5.3-Flash, https://huggingface.co/unsloth/GLM-5.3-Flash-GGUF, https://ollama.com/library/glm-5.3-flash
More: https://localmodel.run/model/glm-5.3-flash