Can I run it?
Can I run Qwen3.5 35B A3B on GeForce RTX 4060 Ti 16GB?
Tight fit
Tight fit fully on your GeForce RTX 4060 Ti 16GB at UD-IQ3_S, 8K context, about 118–161 tok/s. Weights 12.7 GB plus 0.19 GB of KV cache — 13.3 GB of 14.7 GB usable. Up to 64K context still fits.
Best quantUD-IQ3_S
Working context8K
Max that fits64K
Speed118–161 tok/s
Weights12.7 GB
KV cache0.19 GB
Total13.3 GB
Usable14.7 GB
Qwen3.5 35B A3B details · GeForce RTX 4060 Ti 16GB page · How this estimate is made
Run commands
llama.cpp
llama-server -hf unsloth/Qwen3.5-35B-A3B-GGUF:UD-IQ3_S -c 8192 -ngl 40
Ollama
ollama run qwen3.5
LM Studio
lms get unsloth/Qwen3.5-35B-A3B-GGUF # Then load quant UD-IQ3_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%.
- UD-IQ3_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 Qwen3.6 35B A3B on GeForce RTX 4060 Ti 16GB? — Tight fit, UD-IQ3_S, 117–160 tok/s
- Can I run Qwen3.8 35B A3B Distill on GeForce RTX 4060 Ti 16GB? — Tight fit, Q2_K, 118–162 tok/s
- Can I run Kwaipilot KAT Coder V2.5 Dev on GeForce RTX 4060 Ti 16GB? — Tight fit, IQ3_XXS, 57–78 tok/s
Updated 2026-10-17. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.