Can I run it?
Can I run GLM 5.3 on GeForce RTX 4060?
Won't fit
Won't fit on GeForce RTX 4060. The smallest quant UD-IQ1_S is 201.8 GB before KV cache, and usable memory is 7.13 GB.
Best quantUD-IQ1_S
Working context—
Max that fits—
Speed—Estimate from memory bandwidth, not a benchmark. Method.
Weights201.8 GB
KV cache0.00 GB
Total0.00 GB
Usable7.13 GB
GLM 5.3 details · GeForce RTX 4060 page · How this estimate is made
Run commands
llama.cpp
llama-server -hf unsloth/GLM-5.3-GGUF:UD-IQ1_S -c 2048 -ngl 0
Ollama
ollama run glm-5.3
LM Studio
lms get unsloth/GLM-5.3-GGUF # Then load quant UD-IQ1_S
Assumptions
- Estimate from memory bandwidth, not a benchmark. Decode speed uses 55–75% of peak bandwidth.
- KV cache is FP16. Engine overhead assumes llama.cpp (0.3 GB + 1% of the weights). Ollama is closer to 0.9 GB + 3%, LM Studio closer to 1 GB + 3%.
- 0.5 GB is reserved because the GPU also drives a display, then 5% is left free.
- Usable memory for this profile is 7.13 GB.
Models that fit this machine more comfortably
- Can I run Qwen3.8 27B on GeForce RTX 4060? — Heavily degraded, UD-IQ1_M, 21–29 tok/s (estimate)
- gemma 3 27b it — Heavily degraded, UD-IQ1_S, 21–29 tok/s (estimate)
- medgemma 27b text it — Heavily degraded, UD-IQ1_S, 20–27 tok/s (estimate)
Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.