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
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
20.39 GB
Yes
380.1±est.
Q4
8K default
20.69 GB
Yes
380.1±est.
Q4
32K
22.49 GB
Yes
380.1±est.
FP16
4K
70.7 GB
No
61.1±est.
FP16
8K default
71.0 GB
No
60.6±est.
FP16
32K
72.8 GB
No
57.6±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
Quant
Weights
KV cache
Overhead
Total needed
RTX 5090 32GB VRAM
Q4
19.09 GB
0.6 GB
1 GB
20.69 GB
32 GB
FP16
69.4 GB
0.6 GB
1 GB
71.0 GB
32 GB
Other GPUs that run qwen35b-a3b-fable-sft-abliterated