local intelligence

can it run

Can the Titan RTX (24GB, used) run qwen3 1.7B?

YES

Comfortably. 24GB of memory against a 4GB working set leaves headroom for context, the OS, and anything else you're running.

~230–350 tok/s

weights 1.4GB + KV cache 0.44GB at 4k context vs ~24GB usable → full. 1.8 GB needed of 24 GB usable — headroom for context

computed roofline: 672 GB/s × 0.48–0.72 efficiency window / 1.4GB (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 file1.4GB (GGUF Q4_K_M)
minimum memory4GB working set
this machine24GB GDDR6, 672 GB/s
params1.7B
licenseapache-2.0
price$900

Run it

model files: hugging face ↗

easy run: ollama pull qwen3:1.7b

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

Alternatives

every model the Titan RTX (24GB, used) can run — full list

rtx-3090 — the next step up from this machine's GPU

Buy

eBay (used) ↗ · Amazon ↗

2026-09-17 · ← all models on the Titan RTX (24GB, used) · ← full hardware catalog · prices verified at source, may drift