NVIDIA · 10 GB GDDR6X · 760 GB/s bandwidth ·
Alibaba · 4.0B · model ctx up to 256K
Yes — the RTX 3080 10GB (10 GB GDDR6X) can run Qwen3-4B-Thinking-2507. At Q4 with the default 8K context it needs ≈ 4.0 GB VRAM (weights 2.2 GB + KV cache 0.8 GB + 1 GB runtime overhead), which fits within 10 GB. Decode at Q4/8K: ≈ 120.9 tok/s (estimated, batch 1). FP16 needs ≈ 9.8 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
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
3.6 GB
Yes
120.9est.
Q4
8K default
4.0 GB
Yes
120.9est.
Q4
32K
6.4 GB
Yes
120.9est.
FP16
4K
9.4 GB
Yes
33.2est.
FP16
8K default
9.8 GB
No
98.9est.
FP16
32K
12.2 GB
No
63.8est.
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).