Can RTX 3060 12GB run gpt-oss 20B?

Probably only partly: the weights are larger than its memory, so part of the model likely ran from system RAM. Measured 83.96 tok/s generation with part of the model offloaded to system RAM (llama.cpp; source).

Every measured result for gpt-oss 20B on RTX 3060 12GB

Build	Quant / setup	Engine	tok/s
Intel Core Ultra 265K + RTX 3060		llama.cpp	83.96 CPU offload	source

Memory: RTX 3060 12GB has 12 GB. gpt-oss 20B weights are about 13 GB in its native format (GGUF param count via llamabench.ai (OpenAI model card: 21B total, 3.6B active)). Arithmetic, not a measurement; long contexts need more. Check other quants in the VRAM calculator.

Speeds are decode (generation) tokens/sec as reported by each source; quant, engine and context differ, so small gaps are noise.

All measured speeds for gpt-oss 20B: best home rig for gpt-oss 20B.

gpt-oss 20B on other hardware: Apple M1 Max · Apple M1 Ultra · Apple M2 Ultra · Apple M3 Ultra · Apple M4 Max · DGX Spark (GB10) · RTX 3090 · RTX 4070 Ti · RTX 4090 · RTX 5060 Ti 16GB · RTX 5070 Ti · RTX 5080 · RTX 5090 · RTX A4000 · RTX Pro 6000 (Blackwell, 96 GB) · RTX Spark N1X · Radeon AI Pro R9700

Other models measured on RTX 3060 12GB: Gemma 4 12B · LFM2.5 24B-A2B · Qwen3.8 27B

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