Can I run it?
Can I run Qwen3.6 14B A3B FableVibes on GeForce RTX 4060 Ti 8GB?
Tight fit
Tight fit fully on your GeForce RTX 4060 Ti 8GB at Q3_K_M, 8K context, about 96–131 tok/s. Weights 6.30 GB plus 0.19 GB of KV cache — 6.85 GB of 7.13 GB usable.
Best quantQ3_K_M
Working context8K
Max that fits8K
Speed96–131 tok/s
Weights6.30 GB
KV cache0.19 GB
Total6.85 GB
Usable7.13 GB
Qwen3.6 14B A3B FableVibes details · GeForce RTX 4060 Ti 8GB page · How this estimate is made
Run commands
llama.cpp
llama-server -hf tvall43/Qwen3.6-14B-A3B-FableVibes-GGUF:Q3_K_M -c 8192 -ngl 40
Ollama
ollama run qwen3.6
LM Studio
lms get tvall43/Qwen3.6-14B-A3B-FableVibes-GGUF # Then load quant Q3_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%.
- Q3_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 8K context, not at the maximum context that still fits.
Larger models that also fit
- Can I run Qwen3.8 27B on GeForce RTX 4060 Ti 8GB? — Tight fit, UD-IQ1_M, 23–31 tok/s
- Can I run Qwen2.5 14B Instruct on GeForce RTX 4060 Ti 8GB? — Tight fit, Q3_K_S, 22–31 tok/s
- Can I run Qwen3 14B on GeForce RTX 4060 Ti 8GB? — Tight fit, UD-IQ3_XXS, 24–32 tok/s
Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.