LocalClaw/LLM/GLM 4.7 Flash
Open-weight local LLM

GLM 4.7 Flash

Zhipu AI's fast GLM model. 14B parameters optimized for quick responses with strong bilingual (CN/EN) capabilities. Efficient inference for everyday tasks. Apache 2.0.

16 GB sweet spot 16 GB RAM Q5_K_M Chinese-English bilingual chat
Run with LocalClaw Compare all models
Parameters
14B
Minimum RAM
16 GB
Model size
9 GB
Quantization
Q5_K_M

Can GLM 4.7 Flash run locally?

GLM 4.7 Flash is a practical pick for 16 GB machines, especially with Q5_K_M quantization.

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

THUDM/GLM-4.7-Flash-GGUF
chatcodepowerspeed

Install path

01
Check RAM fitMinimum 16 GB RAM. Start with the Q5_K_M quant.
02
Load the modelSearch glm-4.7-flash in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • 128K context
  • Fast inference
  • Strong bilingual CN/EN
  • Apache 2.0
  • Ranks #19 global usage

Limitations

  • Less known outside China
  • Community support smaller than Llama/Qwen

Best use cases

  • Chinese-English bilingual chat
  • Fast responses
  • Content generation
  • Enterprise China market

Capability profile

speed
9
quality
7
coding
7
reasoning
7

Technical notes

Developer
Zhipu AI / Tsinghua University
License
Apache 2.0
Context window
131,072 tokens
Architecture
Transformer with 128K context

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

Similar models to compare

Qwen 3 (8B) 8BGemma 2 (9B) 9BLlama 3.1 (8B) 8B

Where to go next