What local AI models run on 12 GB of VRAM?
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2 of 13 ranked open models fit in 12 GB: 1 with 4 GB or more to spare and 1 tight. The best ranked is Phi-4 14B (9.1 GB).
| Model | LMArena | Needs | Fit | Pages |
|---|---|---|---|---|
Phi-4 14BMicrosoft · Q4_K_M | #322 | 9.1 GB | Tight | Arc B580 · Guide · 8–12 GB GPU tier |
Llama 3.1 8BMeta · Q4_K_M | #345 | 4.9 GB | Fits | Arc B580 · Guide · 8–12 GB GPU tier |
Hardware with 12 GB for the GPU
ASRock Challenger Intel Arc B580 12GB
$329.99 Newegg · checked Oct 27, 2026, about 12:35 PM CT
Sold by Newegg, seen on the product page
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FAQ
What local AI models run on 12 GB of VRAM?
2 of the 13 leaderboard-ranked open models we track fit in 12 GB: Phi-4 14B (9.1 GB), Llama 3.1 8B (4.9 GB). Sizes are Ollama library downloads; Phi-4 14B is tight (under 4 GB spare, our estimate).
What is the best-ranked local model for 12 GB?
Phi-4 14B, #322 overall on LMArena Text (checked Oct 27, 2026, 2:16 PM CT), needs 9.1 GB.
What is the largest model that fits in 12 GB?
Phi-4 14B at 9.1 GB (Q4_K_M). The runtime and context need roughly 1–4 GB more, which is our estimate.
Does 12 GB of unified memory count as 12 GB of VRAM?
No. On a Ryzen AI Max+ 395 system AMD says the GPU can use up to 48 GB of a 64 GB system and up to 96 GB of a 128 GB system, so use the GPU share when you read this page.