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Can RTX 4070 Ti Super 16GB run gpt-oss-20b?

NVIDIA · 16 GB GDDR6X · 672 GB/s bandwidth · OpenAI · 21.5B (active 3.6B) · MoE · model ctx up to 128K

Yes — the RTX 4070 Ti Super 16GB (16 GB GDDR6X) can run gpt-oss-20b. At Q4 with the default 8K context it needs ≈ 13.55 GB VRAM (weights 11.83 GB + KV cache 0.72 GB + 1 GB runtime overhead), which fits within 16 GB. Decode at Q4/8K: ≈ 118.8 tok/s (estimated, batch 1). FP16 needs ≈ 44.72 GB — does not fit on this card. 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

QuantContextVRAM neededFits?tok/s (decode)
Q44K13.19 GBYes118.8 est.
Q48K default13.55 GBYes118.8 est.
Q432K15.71 GBNo352.0 est.
FP164K44.36 GBNo12.1 est.
FP168K default44.72 GBNo11.9 est.
FP1632K46.88 GBNo10.9 est.

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).

VRAM breakdown at 8K context

QuantWeightsKV cacheOverheadTotal neededRTX 4070 Ti Super 16GB VRAM
Q411.83 GB0.72 GB1 GB13.55 GB16 GB
FP1643.0 GB0.72 GB1 GB44.72 GB16 GB

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