local intelligence

can it run

Can the RTX 5080 (16GB) run qwen3 4B?

YES

Comfortably. 16GB of memory against a 4GB working set leaves headroom for context, the OS, and anything else you're running.

~180–300 tok/s

weights 2.6GB + KV cache 0.56GB at 4k context vs ~16GB usable → full. 3.2 GB needed of 16 GB usable — headroom for context

computed roofline: 960 GB/s × 0.50–0.80 efficiency window / 2.6GB (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).

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Specs

model file2.6GB (GGUF Q4_K_M)
minimum memory4GB working set
this machine16GB GDDR7
params4B
licenseapache-2.0
price$1400

Run it

model files: hugging face ↗

easy run: ollama pull qwen3:4b

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

Alternatives

every model the RTX 5080 (16GB) can run — full list

rtx-5090 — the next step up from this machine's GPU

Buy

Amazon ↗ · Newegg ↗ · Amazon ↗ (affiliate)

2026-09-17 · ← all models on the RTX 5080 (16GB) · ← full hardware catalog · prices verified at source, may drift