local intelligence

can it run

Can the RTX 5070 Ti (16GB) run gemma3 4B?

YES

Comfortably. 16GB of memory against a 5GB working set leaves headroom for context, the OS, and anything else you're running.

~160–220 tok/s

weights 3.3GB + KV cache 0.53GB at 4k context vs ~16GB usable → full. 3.8 GB needed of 16 GB usable — headroom for context

computed roofline: 896 GB/s × 0.60–0.80 efficiency window / 3.3GB (Q4_K_M) — bands, never points. Small models (under ~4.5B) run BELOW these bands — kernel-launch overhead keeps them from saturating bandwidth (measured against community medians, 09-06).

explore the full catalog84 machines indexed · live prices · what each one can run

Specs

model file3.3GB (GGUF Q4_K_M)
minimum memory5GB working set
this machine16GB GDDR7, 896 GB/s
params4B
licensegemma
price$900

Run it

model files: hugging face ↗

easy run: ollama pull gemma3:4b

runs with: ollama · llama.cpp · koboldcpp · lm studio

Alternatives

every model the RTX 5070 Ti (16GB) can run — full list

rtx-5080 — the next step up from this machine's GPU

Buy

Amazon ↗ (affiliate) · Amazon ↗ (affiliate)

2026-09-17 · ← all models on the RTX 5070 Ti (16GB) · ← full hardware catalog · prices verified at source, may drift