Can RTX 4070 Ti Super 16GB run Llama-3.2-3B-Instruct?
NVIDIA · 16 GB GDDR6X · 672 GB/s bandwidth ·
Meta · 3.2B · model ctx up to 128K
Yes — the RTX 4070 Ti Super 16GB (16 GB GDDR6X) can run Llama-3.2-3B-Instruct. At Q4 with the default 8K context it needs ≈ 3.4 GB VRAM (weights 1.76 GB + KV cache 0.64 GB + 1 GB runtime overhead), which fits within 16 GB. Decode at Q4/8K: ≈ 199.0 tok/s (measured, batch 1). FP16 (≈ 8.04 GB) also fits, at ≈ 36.8 tok/s (estimated). Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.
Fit & speed by quant and context
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
3.08 GB
Yes
199.0measured
Q4
8K default
3.4 GB
Yes
199.0measured
Q4
32K
5.32 GB
Yes
199.0measured
FP16
4K
7.72 GB
Yes
36.8est.
FP16
8K default
8.04 GB
Yes
36.8est.
FP16
32K
9.96 GB
Yes
36.8est.
Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured
anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s
means the model is far beyond this card (offload-only territory).