Open-weight local LLM
GLM 4.6 Air (12B)
Zhipu AI lightweight flagship. Strong bilingual CN/EN with hybrid thinking mode, 200K context and tool calling. Apache 2.0 — excellent alternative to Qwen 3.5 9B on modest GPUs.
16 GB sweet spot
12 GB RAM
Q4_K_M
Coding assistant
Parameters
12B
Minimum RAM
12 GB
Model size
7.5 GB
Quantization
Q4_K_M
Can GLM 4.6 Air (12B) run locally?
GLM 4.6 Air (12B) is a practical pick for 16 GB machines, especially with Q4_K_M quantization.
Search for glm-4.6-air in LM Studio or another GGUF-compatible runtime.
THUDM/GLM-4.6-Air-GGUFchatcodereasoningstandardgeneral
Install path
01
Check RAM fitMinimum 12 GB RAM. Start with the Q4_K_M quant.02
Load the modelSearch glm-4.6-air in LM Studio.03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.Strengths
- Zhipu AI lightweight flagship. Strong bilingual CN/EN with hybrid thinking mode, 200K context and tool calling. Apache 2.0 — excellent alternative to Qwen 3.5 9B on modest GPUs.
Limitations
- Performance depends on quantization, RAM bandwidth and runtime support.
Best use cases
- chat
- code
- reasoning
- standard
- general
Capability profile
Technical notes
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.