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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.

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Parameters
26B
Minimum RAM
24 GB
Model size
16 GB
Quantization
Q4_K_M

Can GLM 4.7 run locally?

GLM 4.7 is best suited for power-user machines with 32 GB RAM. LocalClaw recommends Q4_K_M as the default quantization, with at least 24 GB RAM.

Search term for LM Studio or compatible runtimes: glm-4.7

Hugging Face repository: THUDM/GLM-4.7-GGUF

chatcodepowerqualitygeneral

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 heavily on quantization, RAM bandwidth and runtime support.

Best use cases

  • chat
  • code
  • power
  • quality
  • general

Benchmarks

Speed: 5/10

Quality: 9/10

Coding: 9/10

Reasoning: 9/10

Technical details

Developer: glm

License: See model repository

Context window: Unknown tokens

Architecture: See model card

Released: 2025-12