estimate
Can I run OrcaCyber Nano 1.0 on an RTX 4090?
Yes, fully in VRAM (estimate)
Can I run OrcaCyber Nano 1.0 on an RTX 4090? Yes, fully in VRAM (estimate). About 17.0 GB at Q4_K_M (estimate).
VRAM per quant for OrcaCyber Nano 1.0
Updated . The later of the hardware price date and the formula date.
| Quant | Context | Weights | KV | Overhead | Total | Usable | Fit | Est. tok/s |
|---|---|---|---|---|---|---|---|---|
| Q4 Q4_K_M | 8,192 tokens | 15.7 GB measured GGUF file size | 0.5 GB estimate | 0.8 GB estimate | 17.0 GB estimate | 23.4 GB estimate | full | 48 tok/s estimate |
| Q5 Q5 (~0.71 bytes/param) | 8,192 tokens | 19.2 GB estimate | 0.5 GB estimate | 0.8 GB estimate | 20.5 GB estimate | 23.4 GB estimate | full | 40 tok/s estimate |
| Q8 Q8 | 8,192 tokens | 28.9 GB estimate | 0.5 GB estimate | 0.8 GB estimate | 30.2 GB estimate | 23.4 GB estimate | no | — |
| FP16 FP16 | 8,192 tokens | 54.0 GB estimate | 0.5 GB estimate | 0.8 GB estimate | 55.3 GB estimate | 23.4 GB estimate | no | — |
| Q4, longer context | 32,768 tokens | 15.7 GB measured GGUF file size | 2.1 GB estimate | 0.8 GB estimate | 18.6 GB estimate | 23.4 GB estimate | full | 44 tok/s estimate |
Formula estimate, not a benchmark. Method →
Cheapest catalog option that fits at Q4
GeForce RTX 3090 24GB, used (median of sold listings), €1,224, dated 2026-10-16. No buy link.
This hardware
$2,446€2,185
used (median of sold listings)
price as of 16 Oct 2026
new (lowest in-stock EU): $4,243€3,790. GPU PRIX. Current low €3,790, MSI Gaming X Slim, Belgium. Page last updated 15 Oct 2026, checked 16 Oct 2026. In-stock boards in that table start at €3,990.
pcprice.watchUsed median €2,185, typical €2,074–€2,290, 111 sales, updated 16 Oct 2026. Not an EU retail listing.
Embed this
OrcaCyber Nano 1.0 on RTX 4090
[](https://localllmrig.com/can-i-run/orcacyber-nano-1.0/rtx-4090?utm_source=badge)
Questions
- Can I run OrcaCyber Nano 1.0 on an RTX 4090?
- Yes, fully in VRAM (estimate).
- How much memory does OrcaCyber Nano 1.0 need at Q4?
- About 17.0 GB at 8,192 tokens (estimate): 15.7 GB weights (measured GGUF file size), 0.5 GB KV cache, 0.8 GB overhead.
- How fast is OrcaCyber Nano 1.0 on RTX 4090 (estimate)?
- About 48 tok/s at Q4 (estimate, not a benchmark).
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Read next: Building a local LLM rig in the RAMageddon.