Can I run OrcaCyber Nano 1.0 on an RX 9060 XT 16GB?
Key facts
No: it needs about 17 GB and this card has 16 GB of graphics memory.
It needs about 17.0 GB at standard quality (estimate). Checked . Mix-15.7G GGUF (vendor custom mix, ~4.65 bpw est.; not Q4_K_M).
Updated · OrcaCyber Nano 1.0 on every card
How much memory it needs
That is about 1.1 times what this card has free.
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Get a 1-line alert when a new open-weight model fits 24 GB VRAM (17.0 GB at Q4 for OrcaCyber Nano 1.0) or when used RTX 3090 / 4090 & Mac Studio prices drop >10% — weekly, zero spam.
What runs OrcaCyber Nano 1.0 instead
The cheapest graphics card on our list that holds the whole model (it still needs the rest of a PC):
GeForce RTX 3090 24GB$1,395€1,246used (median of sold listings)
Fast~45 tok/sAnswers appear faster than you can read them.EU shops · Shown to visitors in Europe.US shops · Shown to visitors outside Europe.
We never pass off an estimate as a benchmark. Commissions never change which hardware we recommend. How we calculate
Price details
$1,395€1,246
How we priced this
Used price, the typical price of second-hand cards that actually sold.
Source: pcprice.watch, checked 24 Oct 2026.
New price, the lowest in stock in the EU: $2,052€2,218 at GPU PRIX, 16 Oct 2026. A Zotac Trinity OC from France.
Used median €1,246 (typical €1,136–€1,334) from 235 cards sold on eBay in the past 90 days, recorded 24 Oct 2026. pcprice.watch refreshed that page on 23 Oct 2026. Not an EU shop price.
Prices excl. shipping unless marked. Euro prices incl. VAT where the seller charges it. Dollar prices are converted from our euro prices without the 21% EU VAT, before US sales tax.
A complete machine that runs it at least as fast as you read: Mac Studio M4 Max 36GB, about $2,116€1,890 (used). Comfortable~12.1 tok/s
See our picks for OrcaCyber Nano 1.0 in Find hardware. Add your budget to see cheaper machines.
For comparison, an RX 9060 XT 16GB costs $522€564, new (cheapest in-stock board on GPU PRIX's German board list). Card details
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OrcaCyber Nano 1.0 on other graphics cards
Runs well6
The whole model fits in the graphics memory.
Doesn't fit4
Not enough graphics memory: it needs about 17.0 GB.
- RTX 3060 12GBhas 12 GB
- RTX 4060 Ti 16GBhas 16 GB
- RTX 5080has 16 GB
- RX 9060 XT 16GBhas 16 GB
More about the model itself, what it is good at and its licence: OrcaCyber Nano 1.0.
The numbers behind this answer
A model comes in several sizes. Q4 is the standard one most people use; the bigger ones answer a little better but need more memory. Each row adds up the model file, the memory a conversation takes, and some working space, and compares the total with what is free on this card.
Swipe the table sideways to see every column.
| Quality | Conversation | Result | Speed | Model file | Conversation memory | Working space | Total needed | Free memory |
|---|---|---|---|---|---|---|---|---|
| Q4 · standard (smallest that keeps quality) | ~12 pages8,192 tokens | Doesn't fit | — | 15.7 GBmeasured file | 0.5 GB | 0.8 GB | 17.0 GB | 15.4 GB |
| Q5 · a bit sharper, a bit bigger | ~12 pages8,192 tokens | Doesn't fit | — | 19.2 GB | 0.5 GB | 0.8 GB | 20.5 GB | 15.4 GB |
| Q8 · near full quality, almost twice Q4 | ~12 pages8,192 tokens | Doesn't fit | — | 28.9 GB | 0.5 GB | 0.8 GB | 30.2 GB | 15.4 GB |
| FP16 · full quality, over three times Q4 | ~12 pages8,192 tokens | Doesn't fit | — | 54.0 GB | 0.5 GB | 0.8 GB | 55.3 GB | 15.4 GB |
| Q4 · standard, longer conversation | ~49 pages32,768 tokens | Doesn't fit | — | 15.7 GBmeasured file | 2.1 GB | 0.8 GB | 18.6 GB | 15.4 GB |
Sources and method
Memory and speed on this page are our estimate, not a measured test. Checked . Mix-15.7G GGUF (vendor custom mix, ~4.65 bpw est.; not Q4_K_M).
OrcaRouter's dense 27B vision-language model for defensive security work (reverse engineering, vulnerability analysis, secure code review, triage). Ships only as GGUF. The card says: "Loads in stock llama.cpp — no custom kernels". Text, image and video in, text out. Context 262,144. Hugging Face metadata says license: other, and the download is gated (accept the terms; auto-approval). No licence text is public. That is not Apache, MIT, or a Qwen licence. The card does not name the pretrained base. Do not read the Qwen3.5-shaped stack as a claim that this is a Qwen fine-tune. Architecture on the card: Qwen3_5ForConditionalGeneration, 64 layers, hidden size 5120, 48 linear-attention layers and 16 full-attention layers. KV heads (4) and head dim (256) are not on the card; the config is gated. Those two figures are assumed from the Qwen3.5-27B config, which has the same 64 layers, hidden size 5120 and full_attention_interval 4. KV dims assumed from Qwen3.5-27B architecture; OrcaCyber config is gated. Linear-attention layers are stored with a sliding window of 0 so our estimate gives them no conversation memory. The conversation-memory figure uses only the 16 full-attention layers and is an estimate. Mix-15.7G is 15.70 GB and Mix-13G is 12.99 GB (decimal GB, Hugging Face file listing, checked 24 Oct 2026, https://huggingface.co/orcarouter/OrcaCyber-Nano-1.0). About 4.65 and 3.85 bits per weight, estimated from 27B parameters. Vendor custom mixes, not Q4_K_M. The memory table does not include the vision projector or the drafter: +0.93 GB vision projector (mmproj F16) for image input; +2.06 GB optional DFlash2 drafter. The card says Mix-13G "fits a 16 GB card with the MTP drafter" and points Mix-15.7G at a "24 GB+ card". That is the vendor's guidance, not this site's fit score. An MTP head is built into both main files. Not in the Ollama library, checked 24 Oct 2026. Vendor-reported, unverified: AIME 2025 96.23% and MATH-500 98.60%. The card says the evaluation harness is being finalized.
Questions
- Can I run OrcaCyber Nano 1.0 on an RX 9060 XT 16GB?
- No: it needs about 17 GB and this card has 16 GB of graphics memory.
- How much memory does OrcaCyber Nano 1.0 need?
- About 17.0 GB at the standard quality (Q4) for a conversation of up to about 12 pages of text (8,192 tokens), by our estimate: 15.7 GB for the model file (measured), 0.5 GB to hold the conversation and 0.8 GB of working space.
- How fast is OrcaCyber Nano 1.0 on an RX 9060 XT 16GB?
- There is no speed to give: it doesn't fit on this card.
Speeds and memory are our estimate from the hardware specs, not a measured test. Prices are dated and may change. How we calculate