RTX 4070 Ti 12GB runs Gemma 3 12B Instruct — but there's less headroom than you'd think

Sized at Q4_K_M with a 8K context: weights, KV cache and framework overhead, against what RTX 4070 Ti 12GB leaves free. Gemma 3 12B Instruct at Q4_K_M needs 11.1 GB and you have 12 GB available, so it fits with 0.9 GB to spare. Expect 28.1–54 tok/s (estimated).

What to do

Your machine already runs this

Gemma 3 12B Instruct at Q4_K_M needs 11.1 GB and you have 12 GB available, so it fits with 0.9 GB to spare.

What we checked

VRAM required at Q4_K_M and 8K context: 11.1 GB
VRAM available on your hardware: 12 GB

Your machine is not exactly this one. Run this for your exact setup — the form opens pre-filled with RTX 4070 Ti 12GB and Gemma 3 12B Instruct.

Questions people ask about this pairing

Can an RTX 4070 Ti 12GB run Gemma 3 12B Instruct?

Yes. Gemma 3 12B Instruct at Q4_K_M needs 11.1 GB and you have 12 GB available, so it fits with 0.9 GB to spare.

How fast will Gemma 3 12B Instruct actually run?

Around 28.1–54 tok/s (estimated) on this setup at Q4_K_M. Decode speed on a local model is set by memory bandwidth rather than compute, so the figure moves with the card's bandwidth and the bytes read per token — not with its price.

Does a longer context change what Gemma 3 12B Instruct needs here?

Yes, and it is the figure people forget. The 11.1 GB above already includes the KV cache at 8K; that cache grows roughly linearly with context, so doubling the window adds real gigabytes rather than a rounding error. If you plan to work with long documents on RTX 4070 Ti 12GB, size for the context you will actually use, not the default.

Data behind this page last checked 2026-09-29.