local intelligence

can it run

Can the RTX 5070 Ti (16GB) run qwen2.5vl 32B?

NO

No. 16GB of memory can't hold the 28GB working set this model needs. A smaller quant or a bigger machine is required.

~24–33 tok/s

weights 22GB + KV cache 1GB at 4k context vs ~16GB usable → no. 23.0 GB vs 16 GB usable — does not fit

computed roofline: 896 GB/s × 0.60–0.80 efficiency window / 22.0GB (Q4_K_M) — bands, never points.

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Specs

model file22GB (GGUF Q4_K_M)
minimum memory28GB working set
this machine16GB GDDR7, 896 GB/s
params32B
licenseapache-2.0
price$900

Run it

model files: hugging face ↗

easy run: ollama pull qwen2.5vl:32b

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

Alternatives

Mac mini M5 Pro (64GB) — cheapest machine that runs it ($1669)

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