Can I Run EXAONE 3.5 on RTX 3060 12 GB Desktop (12 GB VRAM, 32 GB RAM)?

作者： Jakub Rusinowski · 最后更新： 2026年2月10日

Yes

Yes — EXAONE 3.5 7.8B at Q8_0 needs about 10.2 GB of the 12 GB usable on RTX 3060 12 GB Desktop (12 GB VRAM, 32 GB RAM) (~1.8 GB spare), at ~28.6 tok/s (estimated), with room for about 16,384 tokens of context.

Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~28.6 tok/s

Buy This HardwareIntel Arc B580 12GB — 12 GB VRAM · 190 W board power Deploy in the Cloud NowRTX 4090 on RunPod — from $0.34/hr · rate checked 2026-07

or compare on Vast.ai from $0.35/hr (typical low · varies)

As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.

RTX 3060 12 GB Desktop (12 GB VRAM, 32 GB RAM) — what it gives a model

Usable memory for models	12 GB
Memory bandwidth	360 GB/s
Form factor	Desktop
Operating system	Windows or Linux
Memory upgradeable	Yes

EXAONE 3.5 on RTX 3060 12 GB Desktop (12 GB VRAM, 32 GB RAM): memory by quantization

Quant	Memory needed	Fits 12 GB?	Max context	Est. speed	Download
F16	17.5 GB	✗ No	—	—	15.6 GB
Q8_0	10.2 GB	✓ Yes	16K	~28.6 tok/s	8.3 GB
Q6_K	8.3 GB	✓ Yes	32K	~35.8 tok/s	6.4 GB
Q5_K_M	7.4 GB	✓ Yes	32K	~40.5 tok/s	5.5 GB
Q4_K_M	6.6 GB	✓ Yes	32K	~46.1 tok/s	4.7 GB
Q3_K_M	5.2 GB	✓ Yes	32K	~60.4 tok/s	3.3 GB
Q2_K	4.4 GB	✓ Yes	32K	~72.8 tok/s	2.6 GB

Which EXAONE 3.5 sizes fit

Variant	Needs at Q4_K_M	Fits?	Est. speed
EXAONE 3.5 32B	22.3 GB	✗ Too large	—
EXAONE 3.5 7.8B	6.6 GB	✓ Fits	~46.1 tok/s
EXAONE 3.5 2.4B	2.9 GB	✓ Fits	~113.9 tok/s

What to watch out for

1 larger variant of EXAONE 3.5 does not fit and would need CPU offload or different hardware.

RTX 3060 12 GB desktop limitations

The budget entry point to local AI: 12 GB runs 7–14B models well and nothing larger without offload.

Recommended setup

Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving

How these numbers are calculated

Memory need = quantized weights + KV cache at 8,192 tokens (f16) + 0.8 GB runtime overhead.
12 GB of VRAM on the NVIDIA GeForce RTX 3060 (12GB) at 360 GB/s.
32 GB of system RAM available for CPU offload when a model exceeds VRAM.
Throughput is a memory-bandwidth roofline estimate, not a measurement. It is labelled "estimated" everywhere it appears.
KV cache is computed from this model's published attention configuration.

FAQ