Qwen on NVIDIA Ada

Can I run Qwen3 14B on an RTX 4070?

Not at Q4_K_M — it needs 10.5 GB against 10.5 GB available. Drop to Q4_K_S and it fits, at about 34.6 tokens per second.

Won't fit

10.5 GB of 10.5 GB · 101%
011 GB
Weights 8.5 GB
KV cache 1.3 GB
Runtime overhead 0.8 GB
Over the limit 0.1 GB

Short by 0.1 GB. You can run it with 39 of 40 layers on the RTX 4070 and the rest in system RAM, at roughly 28.2 tok/s — usable for batch work, painful for chat. A smaller quantisation or a shorter context is usually the better trade.

Generation28.2tok/s
Prompt processing825tok/s
Max context8Ktokens
KV per 1K tokens0GB

Every quantisation of Qwen3 14B on a RTX 4070

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 1.84
INT8 / W8A8 8.50 14.3 GB 16.4 GB Won't fit 5.16
Q8_0 (GGUF) 8.50 14.3 GB 16.4 GB Won't fit 5.16
FP8 (E4M3) 8.00 13.8 GB 15.8 GB Won't fit 5.58
Q6_K 6.56 11.3 GB 13.4 GB Won't fit 8.75
Q5_K_M 5.67 9.7 GB 11.8 GB Won't fit 14.3
Q5_K_S 5.52 9.5 GB 11.6 GB Won't fit 896 16.0
AWQ 4-bit 4.25 9.4 GB 11.5 GB Won't fit 1K 16.1
GPTQ 4-bit 4.25 9.4 GB 11.5 GB Won't fit 1K 16.1
MXFP4 4.25 9.4 GB 11.5 GB Won't fit 1K 16.1
Q4_K_M 4.85 8.5 GB 10.5 GB Won't fit 8K 28.2
Q4_K_S 4.58 8.0 GB 10.1 GB Fits, but tight 10K 34.6
Q4_0 4.55 8.0 GB 10.1 GB Fits, but tight 11K 34.8
IQ4_XS 4.25 7.5 GB 9.6 GB Fits, but tight 13K 36.7
Q3_K_M 3.91 7.0 GB 9.1 GB Runs comfortably 17K 39.2
IQ3_M 3.70 6.7 GB 8.8 GB Runs comfortably 19K 40.9
IQ3_XXS 3.06 5.7 GB 7.8 GB Runs comfortably 25K 47.2
Q2_K 2.63 5.0 GB 7.1 GB Runs comfortably 29K 52.7
IQ2_XXS 2.06 4.2 GB 6.3 GB Runs comfortably 35K 62.2
IQ1_M 1.75 3.7 GB 5.8 GB Runs comfortably 38K 68.9

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