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Can RTX 5090 32GB run Qwen3.5-122B-A10B-Heretic-v2-MLX-mixed-3.8bit?

NVIDIA · 32 GB GDDR7 · 1792 GB/s bandwidth · TheCluster · 19.8B (active 19.8B) · MoE · model ctx up to NoneK

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

Yes — the RTX 5090 32GB (32 GB GDDR7) can run Qwen3.5-122B-A10B-Heretic-v2-MLX-mixed-3.8bit. At Q4 with the default 8K context it needs ≈ 15.85 GB VRAM (weights 10.89 GB + KV cache 3.96 GB + 1 GB runtime overhead), which fits within 32 GB. Decode at Q4/8K: ≈ 57.6 tok/s (estimated, batch 1). FP16 needs ≈ 44.56 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)
Q44K13.87 GBYes57.6 ± est.
Q48K default15.85 GBYes57.6 ± est.
Q432K27.73 GBYes57.6 ± est.
FP164K42.58 GBNo25.5 ± est.
FP168K default44.56 GBNo23.3 ± est.
FP1632K56.44 GBNo14.5 ± 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
Q410.89 GB3.96 GB1 GB15.85 GB32 GB
FP1639.6 GB3.96 GB1 GB44.56 GB32 GB

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