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Can RTX 5090 32GB run qwen35b-a3b-fable-sft-abliterated?

NVIDIA · 32 GB GDDR7 · 1792 GB/s bandwidth · hotdogs · 34.7B (active 3.0B) · MoE · model ctx up to 32K

BB · GoodComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
CUDA

Yes — the RTX 5090 32GB (32 GB GDDR7) can run qwen35b-a3b-fable-sft-abliterated. At Q4 with the default 8K context it needs ≈ 20.69 GB VRAM (weights 19.09 GB + KV cache 0.6 GB + 1 GB runtime overhead), which fits within 32 GB. Decode at Q4/8K: ≈ 380.1 tok/s (estimated, batch 1). FP16 needs ≈ 71.0 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. Buy RTX 5090 32GB on Amazon →

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K20.39 GBYes380.1 ± est.
Q48K default20.69 GBYes380.1 ± est.
Q432K22.49 GBYes380.1 ± est.
FP164K70.7 GBNo61.1 ± est.
FP168K default71.0 GBNo60.6 ± est.
FP1632K72.8 GBNo57.6 ± 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 5090 32GB VRAM
Q419.09 GB0.6 GB1 GB20.69 GB32 GB
FP1669.4 GB0.6 GB1 GB71.0 GB32 GB

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