LocalClaw/LLM/GLM 4.5 Air (MoE)
Open-weight MoE

GLM 4.5 Air (MoE)

Zhipu AI's efficient MoE powerhouse. 106B total parameters, only 14B active at inference — dense-model speed with much larger model quality. Clearly the best in the 16–24GB RAM range. Outperforms Llama 3.3 70B. Apache 2.0.

16 GB sweet spot 16 GB RAM Q4_K_M Coding assistant
Run with LocalClaw Compare all models
Parameters
106B (14B active, MoE)
Minimum RAM
16 GB
Model size
9 GB
Quantization
Q4_K_M

Can GLM 4.5 Air (MoE) run locally?

GLM 4.5 Air (MoE) is a practical pick for 16 GB machines, especially with Q4_K_M quantization.

Search for glm-4.5-air in LM Studio or another GGUF-compatible runtime.

THUDM/GLM-4.5-Air-GGUF
chatcodepowerqualitygeneral

Install path

01
Check RAM fitMinimum 16 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch glm-4.5-air in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Zhipu AI's efficient MoE powerhouse. 106B total parameters, only 14B active at inference — dense-model speed with much larger model quality. Clearly the best in the 16–24GB RAM range. Outperforms Llama 3.3 70B. Apache 2.0.

Limitations

  • Performance depends on quantization, RAM bandwidth and runtime support.

Best use cases

  • chat
  • code
  • power
  • quality
  • general

Capability profile

speed
7
quality
9
coding
9
reasoning
9

Technical notes

Developer
glm
License
See model repository
Context window
Unknown tokens
Architecture
See model card

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Starter desktopMac mini M4 16GBPortable fitMacBook Air M4 16GBBest 16GB models16GB RAM guide

Where to go next