local intelligence

can it run

Can the RTX 2080 / 2080 Super (8GB, used) run mistral 7B?

TIGHT

Yes, but close to the edge. 8GB against a 6GB working set: it runs, with little room for long context windows or other processes.

~52–79 tok/s

weights 4.1GB + KV cache 0.5GB at 4k context vs ~8GB usable → full. 4.6 GB needed of 8 GB usable — headroom for context

computed roofline: 448 GB/s × 0.48–0.72 efficiency window / 4.1GB (Q4_K_M) — bands, never points.

Community check: ~52 tok/s · 8-9B Q4 · 4 runs · inside our computed band — localmaxxing.com

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

Specs

model file4.1GB (GGUF Q4_K_M)
minimum memory6GB working set
this machine8GB GDDR6, 448-496 GB/s
params7B
licenseapache-2.0
price$305

Run it

model files: hugging face ↗

easy run: ollama pull mistral:7b

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

Alternatives

Tesla P100 (16GB, used) — cheapest machine that runs it ($135)

every model the RTX 2080 / 2080 Super (8GB, used) can run — full list

rtx-3080-10gb — the next step up from this machine's GPU

Buy

eBay (used) ↗ · Amazon ↗

2026-09-17 · ← all models on the RTX 2080 / 2080 Super (8GB, used) · ← full hardware catalog · prices verified at source, may drift