Qwen on NVIDIA Ampere

Can I run Qwen3 30B-A3B on an RTX 3080 10GB?

Not at Q4_K_M — it needs 18.8 GB against 8.6 GB available. You would need 3 of these cards.

Won't fit

18.8 GB of 8.6 GB · 219%
020 GB
Weights 17.3 GB
KV cache 0.8 GB
Runtime overhead 0.8 GB
Over the limit 10.2 GB

Short by 10.2 GB. You can run it with 19 of 48 layers on the RTX 3080 10GB and the rest in system RAM, at roughly 24.7 tok/s — usable for batch work, painful for chat. A smaller quantisation or a shorter context is usually the better trade.

Generation24.7tok/s
Prompt processing3772tok/s
Max context0tokens
KV per 1K tokens0GB

Every quantisation of Qwen3 30B-A3B on a RTX 3080 10GB

Highlighted row is the highest quality that still fits at 8K context.

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 56.9 GB 58.4 GB Won't fit 6.51
INT8 / W8A8 8.50 30.1 GB 31.6 GB Won't fit 13.0
Q8_0 (GGUF) 8.50 30.1 GB 31.6 GB Won't fit 13.0
FP8 (E4M3) 8.00 28.4 GB 30.0 GB Won't fit 13.6
Q6_K 6.56 23.3 GB 24.9 GB Won't fit 17.2
Q5_K_M 5.67 20.2 GB 21.7 GB Won't fit 20.3
Q5_K_S 5.52 19.6 GB 21.2 GB Won't fit 21.3
Q4_K_M 4.85 17.3 GB 18.8 GB Won't fit 24.7
Q4_K_S 4.58 16.3 GB 17.9 GB Won't fit 26.4
Q4_0 4.55 16.2 GB 17.8 GB Won't fit 26.5
AWQ 4-bit 4.25 16.0 GB 17.5 GB Won't fit 27.6
GPTQ 4-bit 4.25 16.0 GB 17.5 GB Won't fit 27.6
MXFP4 4.25 16.0 GB 17.5 GB Won't fit 27.6
IQ4_XS 4.25 15.2 GB 16.7 GB Won't fit 29.4
Q3_K_M 3.91 14.0 GB 15.5 GB Won't fit 33.0
IQ3_M 3.70 13.3 GB 14.8 GB Won't fit 35.3
IQ3_XXS 3.06 11.1 GB 12.6 GB Won't fit 46.8
Q2_K 2.63 9.6 GB 11.1 GB Won't fit 61.6
IQ2_XXS 2.06 7.6 GB 9.1 GB Won't fit 3K 108
IQ1_M 1.75 6.5 GB 8.0 GB Fits, but tight 14K 149

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