GeForce RTX 4070 Ti Super · Gemma 4 31B · Q4_K_M
Only with CPU offload. Gemma 4 31B at Q4_K_M does not fit in the 16 GB on GeForce RTX 4070 Ti Super, and a 32 GB system RAM pool runs it slowly, roughly 3–5 tokens per second.
| Piece | Value | Note |
|---|---|---|
| Weights | 17.1 GiB | gemma-4-31B-it-Q4_K_M.gguf |
| KV cache | 1.41 GiB | 8,192 tokens |
| Engine overhead | 0.50 GiB | Flat 0.5 GiB allowance |
| 5% headroom | 0.95 GiB | On the sum above |
| Total | 19.9 GiB | Offload |
| Fast memory | 16.0 GiB | 16 GB VRAM |
| Speed | 3–5 tok/s | Dense bandwidth range |
ollama run gemma4:31b
GeForce RTX 4070 Ti Super · Gemma 4 31B ·GGUF file · Methodology
FAQ
How was this fit calculated?
Weights 17.1 GiB, KV cache 1.41 GiB at 8,192 tokens, engine overhead 0.50 GiB, then 5% headroom, for 19.9 GiB. Fast memory available is 16.0 GiB.
What if I change the quant or the context?
This page is Q4_K_M at 8,192 tokens. A smaller quant or a shorter context lowers the total. The homepage calculator changes both without a new page.
Can I trust the tokens per second?
The range 3–5 tok/s is a bandwidth roofline, 55% to 80% efficient. This dense model reads the whole weight file each token. Measure your own box before you buy around it.
What do I type?
ollama run gemma4:31b
Is GeForce RTX 4070 Ti Super assumed to have extra RAM?
Yes. Discrete GPU pages assume 32 GB of system RAM. Offload uses whatever remains after 8 GB for Windows, and it is limited by the slower of DDR5-5600 and the PCIe link.