Local LLM model page
GLM-4 (32B)
Flagship GLM-4. Much better than QwQ 32B for general tasks. Llama-70B class performance at half the size. Exceptional bilingual (CN/EN).
Parameters
32B
Minimum RAM
32 GB
Model size
20 GB
Quantization
Q4_K_M
Can GLM-4 (32B) run locally?
GLM-4 (32B) is best suited for power-user machines with 32 GB RAM. LocalClaw recommends Q4_K_M as the default quantization, with at least 32 GB RAM.
Search term for LM Studio or compatible runtimes: glm-4-32b-chat
Hugging Face repository: THUDM/glm-4-32b-chat-GGUF
chatcodepowerqualitygeneral
Strengths
- Flagship GLM-4. Much better than QwQ 32B for general tasks. Llama-70B class performance at half the size. Exceptional bilingual (CN/EN).
Limitations
- Performance depends heavily on quantization, RAM bandwidth and runtime support.
Best use cases
- chat
- code
- power
- quality
- general
Benchmarks
Speed: 4/10
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: 2024-08