Yes — the A100 80GB SXM4 (80 GB HBM2e) 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 80 GB. Decode at Q4/8K: ≈ 432.5 tok/s (estimated, batch 1). FP16 (≈ 71.0 GB) also fits, at ≈ 118.9 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
20.39 GB
Yes
432.5±est.
Q4
8K default
20.69 GB
Yes
432.5±est.
Q4
32K
22.49 GB
Yes
432.5±est.
FP16
4K
70.7 GB
Yes
118.9±est.
FP16
8K default
71.0 GB
Yes
118.9±est.
FP16
32K
72.8 GB
Yes
118.9±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
Quant
Weights
KV cache
Overhead
Total needed
A100 80GB SXM4 VRAM
Q4
19.09 GB
0.6 GB
1 GB
20.69 GB
80 GB
FP16
69.4 GB
0.6 GB
1 GB
71.0 GB
80 GB
Other GPUs that run qwen35b-a3b-fable-sft-abliterated