What Can I Run AI?

HomeCan I run it?Gemma 3 27BGemma 3 27B on an RTX 3070 Ti

No. Gemma 3 27B at Q4_K_M needs about 20.1 GB, and the GeForce RTX 3070 Ti has 8.0 GB usable at a ~4k context.

Can I run Gemma 3 27B on an RTX 3070 Ti?

Gemma 3 27B at Q4_K_M needs about 20.1 GB, and the GeForce RTX 3070 Ti has 8.0 GB usable. That figure is 8 GB of VRAM on the spec sheet, of which 8.0 GB is usable for weights and cache, at 608 GB/s memory bandwidth. Google’s larger Gemma 3 instruct model, in the same memory band as other mid-20B dense models. These are estimates from our formula, not measured benchmarks.

Quant that fits
None of Q4, Q8 or FP16 needs 20.1 GB
Memory needed
20.1 GB at Q4_K_M, ~4k context
Usable VRAM
8.0 GB of 8 GB VRAM
Est. tokens/sec
n/a does not fit

gemma-3-27b-it · GeForce RTX 3070 Ti · Everything this machine runs · Q4 vs Q8 vs FP16

Memory at each quant

QuantNeed vs 8.0 GBVerdict
Q4_K_M20.1 GBQ4Won’t fit
Q8_034.5 GBQ8Won’t fit
FP1664.1 GBFP16Won’t fit

Estimated tokens per second

No speed estimate: Gemma 3 27B does not fit in the 8.0 GB this machine can use, so we do not publish a tokens/sec figure for CPU offload.

Context headroom

We do not have a published KV config for this model, so the memory need is the ~4k-context estimate only. Use the VRAM calculator to explore longer chats.

What to do instead

Other hardware for Gemma 3 27B

Other models on an RTX 3070 Ti

Quick answers

Can I run Gemma 3 27B on an RTX 3070 Ti?
No. Gemma 3 27B at Q4_K_M needs about 20.1 GB, and the GeForce RTX 3070 Ti has 8.0 GB usable.
How much VRAM does Gemma 3 27B need?
About 20.1 GB at Q4_K_M, 34.5 GB at Q8_0 and 64.1 GB at FP16, estimated for a ~4k context.
How fast is Gemma 3 27B on an RTX 3070 Ti?
We do not estimate tokens/sec when the model does not fit. CPU offload is possible but slow.

New models, and what they need to run

One short email a week: fresh open models with their VRAM numbers, plus hardware worth watching.