Qwen on NVIDIA Ada

Can I run Qwen3 14B on an RTX 4090?

Yes. Qwen3 14B at Q4_K_M uses 10.5 GB of the 21.8 GB available on a RTX 4090, and runs at about 65.5 tokens per second. You can push the context to 80K.

Runs comfortably

10.5 GB of 21.8 GB · 48%
022 GB
Weights 8.5 GB
KV cache 1.3 GB
Runtime overhead 0.8 GB

Qwen3 14B at Q4_K_M leaves 11.2 GB spare on a RTX 4090. There is room to raise the context length or move up a quantisation level.

Generation65.5tok/s
Prompt processing2346tok/s
Max context80Ktokens
KV per 1K tokens0GB

Every quantisation of Qwen3 14B on a RTX 4090

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

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 27.5 GB 29.6 GB Won't fit — 3.95
INT8 / W8A8 8.50 14.3 GB 16.4 GB Runs comfortably 43K 40.2
Q8_0 (GGUF) 8.50 14.3 GB 16.4 GB Runs comfortably 43K 40.2
FP8 (E4M3) 8.00 13.8 GB 15.8 GB Runs comfortably 46K 41.6
Q6_K 6.56 11.3 GB 13.4 GB Runs comfortably 62K 50.2
Q5_K_M 5.67 9.7 GB 11.8 GB Runs comfortably 72K 57.5
Q5_K_S 5.52 9.5 GB 11.6 GB Runs comfortably 73K 58.9
AWQ 4-bit 4.25 9.4 GB 11.5 GB Runs comfortably 74K 59.2
GPTQ 4-bit 4.25 9.4 GB 11.5 GB Runs comfortably 74K 59.2
MXFP4 4.25 9.4 GB 11.5 GB Runs comfortably 74K 59.2
Q4_K_M 4.85 8.5 GB 10.5 GB Runs comfortably 80K 65.5
Q4_K_S 4.58 8.0 GB 10.1 GB Runs comfortably 82K 68.6
Q4_0 4.55 8.0 GB 10.1 GB Runs comfortably 83K 69.0
IQ4_XS 4.25 7.5 GB 9.6 GB Runs comfortably 86K 72.8
Q3_K_M 3.91 7.0 GB 9.1 GB Runs comfortably 89K 77.7
IQ3_M 3.70 6.7 GB 8.8 GB Runs comfortably 91K 81.0
IQ3_XXS 3.06 5.7 GB 7.8 GB Runs comfortably 97K 93.4
Q2_K 2.63 5.0 GB 7.1 GB Runs comfortably 102K 104
IQ2_XXS 2.06 4.2 GB 6.3 GB Runs comfortably 107K 122
IQ1_M 1.75 3.7 GB 5.8 GB Runs comfortably 110K 136

Also worth checking

Qwen3 14B on every GPU
Full hardware tableEverything that runs on a RTX 4090
Full model tableWhy the KV cache is the part that bites
Guide