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No. GLM-4.7-Flash 30B-A3B (MoE) does not fit on RTX 4060 Ti 8GB: Q4_K_M needs 20.4 GB and 7.5 GB is usable.
Hardware: RTX 4060 Ti 8GB · Model: GLM-4.7-Flash 30B-A3B (MoE)
RTX 4060 Ti 8GB has 8 GB of VRAM and 288 GB/s of memory bandwidth. The checker holds back 0.5 GB of VRAM for the driver and assumes 16 GB of system RAM, so fast memory usable by Ollama is 7.5 GB. Partial offload may also use 60% of that system RAM. GLM-4.7-Flash 30B-A3B (MoE) (31.2B, 3B active, Z.ai) at Q4_K_M is a 19 GB download and needs 20.4 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 19 GB |
| Memory needed | 20.4 GB |
| Usable fast memory | 7.5 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run glm-4.7-flash:latest |
Smallest hardware that runs it: RTX 3060 12GB at Q4_K_M (partial offload (slower), 20.4 GB needed, 11.5 GB usable, about 20 tok/s (estimate)). Can a RTX 3060 12GB run GLM-4.7-Flash 30B-A3B (MoE)?
A smaller Z.ai model that fits this hardware: GLM-OCR 0.9B at BF16 (fits in fast memory, 3.7 GB). Can a RTX 4060 Ti 8GB run GLM-OCR 0.9B?
Open RTX 4060 Ti 8GB in the checkerEstimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-23.
A project by OnDevice Labs · llms.txt