LocalClaw/LLM/GLM 4.7
Open-weight local LLM

GLM 4.7

Zhipu AI's latest flagship. Major upgrade over GLM-4 with enhanced reasoning and coding. Strong bilingual (CN/EN). Ranks #17 on global usage leaderboards. Apache 2.0.

32 GB power user 24 GB RAM Q4_K_M Coding assistant
Run with LocalClaw Compare all models
Parameters
26B
Minimum RAM
24 GB
Model size
16 GB
Quantization
Q4_K_M

Can GLM 4.7 run locally?

GLM 4.7 belongs on 32 GB machines when you want stronger quality without jumping to server hardware.

Search for glm-4.7 in LM Studio or another GGUF-compatible runtime.

THUDM/GLM-4.7-GGUF
chatcodepowerqualitygeneral

Install path

01
Check RAM fitMinimum 24 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch glm-4.7 in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Zhipu AI's latest flagship. Major upgrade over GLM-4 with enhanced reasoning and coding. Strong bilingual (CN/EN). Ranks #17 on global usage leaderboards. Apache 2.0.

Limitations

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

Best use cases

  • chat
  • code
  • power
  • quality
  • general

Capability profile

speed
5
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.

Comfortable headroomMac mini M4 Pro 48GBMobile workstationMacBook Pro M4 Max 36GBPower-user picks32GB RAM guide

Where to go next