Can I run it?
Can I run Qwen3.6 27B on GeForce RTX 3070?
Partial offload
Partial offload on your GeForce RTX 3070: Q4_K_M at 4K context, 26 of 64 layers on the GPU and 9.31 GB in system RAM. Expect about 4.3–5.9 tok/s.
Best quantQ4_K_M
Working context4K
Max that fits4K
Speed4.3–5.9 tok/s
Weights15.7 GB
KV cache0.32 GB
Total16.4 GB
Usable7.13 GB
Qwen3.6 27B details · GeForce RTX 3070 page · How this estimate is made
Run commands
llama.cpp
llama-server -hf unsloth/Qwen3.6-27B-GGUF:Q4_K_M -c 4096 -ngl 26
Ollama
ollama run qwen3.6
LM Studio
lms get unsloth/Qwen3.6-27B-GGUF # Then load quant Q4_K_M
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%.
- Q4_K_M 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 4K context, not at the maximum context that still fits.
- About 26 of 64 layers stay on the GPU. 9.31 GB is read from system RAM.
Models that fit this machine more comfortably
- Can I run Qwen3.8 27B on GeForce RTX 3070? — Tight fit, UD-IQ1_M, 35–48 tok/s
- Can I run gemma 3 27b it on GeForce RTX 3070? — Tight fit, UD-IQ1_S, 35–48 tok/s
- Can I run medgemma 27b text it on GeForce RTX 3070? — Tight fit, UD-IQ1_S, 33–45 tok/s
Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.