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No. Qwen 2.5 72B does not fit on RTX 4070 Ti Super 16GB: Q4_K_M needs 51.1 GB and 15.5 GB is usable.
Hardware: RTX 4070 Ti Super 16GB · Model: Qwen 2.5 72B
RTX 4070 Ti Super 16GB has 16 GB of VRAM and 672 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 15.5 GB. Partial offload may also use 60% of that system RAM. Qwen 2.5 72B (72.7B, Alibaba) at Q4_K_M is a 47 GB download and needs 51.1 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 47 GB |
| Memory needed | 51.1 GB |
| Usable fast memory | 15.5 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run qwen2.5:72b |
Smallest hardware that runs it: M1 Max (32c GPU) 64GB at Q4_K_M (fits if the Mac GPU limit is raised, 51.1 GB needed, 48.0 GB usable, about 7 tok/s (estimate)). Can a M1 Max (32c GPU) 64GB run Qwen 2.5 72B?
A smaller Alibaba model that fits this hardware: Qwen3.5 35B-A3B (MoE) at Q4_K_M (partial offload (slower), 23.9 GB). Can a RTX 4070 Ti Super 16GB run Qwen3.5 35B-A3B (MoE)?
Open RTX 4070 Ti Super 16GB 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