GPU × Model compatibility
AIPCFit compares the model's recorded GGUF variants against the16GB of dedicated VRAM on the RTX 5060 Ti 16GB. The result is a deterministic memory-planning check, not a speed benchmark.
Quick answer
At least one recorded variant reaches AIPCFit's good-fit or fits threshold using this GPU's dedicated VRAM. Exact speed, context capacity, and runtime behavior are not predicted here.
Variant-by-variant fit
GGUF · Q4_K_M
16 GB dedicated VRAM meets the 3.7 GB planning memory level for Llama 3.2 3B · Q4_K_M.
This is a deterministic memory fit, not a speed or quality benchmark.
GGUF · Q8_0
16 GB dedicated VRAM meets the 5.2 GB planning memory level for Llama 3.2 3B · Q8_0.
This is a deterministic memory fit, not a speed or quality benchmark.
AIPCFit does not invent tokens-per-second numbers.
This page does not assume how much RAM your full PC has, so partial offload is not ranked.
Longer context and runtime settings can increase real memory pressure.