Can I run it?

Can I run Swift Qwen3.8 27B on GeForce RTX 3060 12GB?

Tight fit

Tight fit fully on your GeForce RTX 3060 12GB at IQ2_S, 8K context, about 19–26 tok/s. Weights 9.22 GB plus 0.57 GB of KV cache — 10.2 GB of 10.9 GB usable. Up to 16K context still fits.

Best quantIQ2_S

Working context8K

Max that fits16K

Speed19–26 tok/s

Weights9.22 GB

KV cache0.57 GB

Total10.2 GB

Usable10.9 GB

Swift Qwen3.8 27B details · GeForce RTX 3060 12GB page · How this estimate is made

Run commands

llama.cpp

llama-server -hf ukisai/Swift-Qwen3.8-27B-GGUF:IQ2_S -c 8192 -ngl 64

No matching name in the Ollama library snapshot.

LM Studio

lms get ukisai/Swift-Qwen3.8-27B-GGUF
# Then load quant IQ2_S

Assumptions

Estimate, not a benchmark. Decode speed uses a memory-bandwidth model at 55–75% of peak.
KV cache is FP16. Engine overhead assumes llama.cpp (0.3 GB + 1% of the weights). Ollama is closer to 0.9 GB + 3%, LM Studio closer to 1 GB + 3%.
IQ2_S size is the real GGUF file size from Hugging Face.
0.5 GB is reserved because this GPU also drives a display, then 5% of the rest is left free.
Speed is quoted at 8K context, not at the maximum context that still fits.

Larger models that also fit

Can I run Qwen3.8 27B on GeForce RTX 3060 12GB? — Tight fit, UD-Q2_K_XL, 19–26 tok/s
Can I run Qwen3.6 35B A3B on GeForce RTX 3060 12GB? — Tight fit, UD-IQ2_XXS, 180–246 tok/s
Can I run Qwen3.5 35B A3B on GeForce RTX 3060 12GB? — Tight fit, UD-IQ2_XXS, 182–248 tok/s

Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.