Qwen on NVIDIA Ada

Can I run Qwen3 4B on an RTX 4070 Super?

Yes. Qwen3 4B at Q4_K_M uses 4.2 GB of the 10.5 GB available on a RTX 4070 Super, and runs at about 103 tokens per second. You can push the context to 53K.

Runs comfortably

4.2 GB of 10.5 GB · 40%
010 GB
Weights 2.3 GB
KV cache 1.1 GB
Runtime overhead 0.8 GB

Qwen3 4B at Q4_K_M leaves 6.3 GB spare on a RTX 4070 Super. There is room to raise the context length or move up a quantisation level.

Generation103tok/s
Prompt processing3709tok/s
Max context53Ktokens
KV per 1K tokens0GB

Every quantisation of Qwen3 4B on a RTX 4070 Super

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

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 7.5 GB 9.4 GB Runs comfortably 16K 37.2
INT8 / W8A8 8.50 3.9 GB 5.8 GB Runs comfortably 41K 66.9
Q8_0 (GGUF) 8.50 3.9 GB 5.8 GB Runs comfortably 41K 66.9
FP8 (E4M3) 8.00 3.7 GB 5.7 GB Runs comfortably 42K 69.1
Q6_K 6.56 3.1 GB 5.0 GB Runs comfortably 47K 81.7
Q5_K_M 5.67 2.7 GB 4.6 GB Runs comfortably 50K 92.1
Q5_K_S 5.52 2.6 GB 4.5 GB Runs comfortably 51K 94.1
AWQ 4-bit 4.25 2.5 GB 4.4 GB Runs comfortably 51K 96.0
GPTQ 4-bit 4.25 2.5 GB 4.4 GB Runs comfortably 51K 96.0
MXFP4 4.25 2.5 GB 4.4 GB Runs comfortably 51K 96.0
Q4_K_M 4.85 2.3 GB 4.2 GB Runs comfortably 53K 103
Q4_K_S 4.58 2.2 GB 4.1 GB Runs comfortably 53K 107
Q4_0 4.55 2.2 GB 4.1 GB Runs comfortably 53K 108
IQ4_XS 4.25 2.0 GB 4.0 GB Runs comfortably 54K 113
Q3_K_M 3.91 1.9 GB 3.8 GB Runs comfortably 55K 119
IQ3_M 3.70 1.8 GB 3.7 GB Runs comfortably 56K 124
IQ3_XXS 3.06 1.5 GB 3.5 GB Runs comfortably 58K 139
Q2_K 2.63 1.4 GB 3.3 GB Runs comfortably 59K 152
IQ2_XXS 2.06 1.1 GB 3.0 GB Runs comfortably 61K 173
IQ1_M 1.75 1.0 GB 2.9 GB Runs comfortably 62K 187

Also worth checking

Qwen3 4B on every GPU
Full hardware tableEverything that runs on a RTX 4070 Super
Full model tableWhy the KV cache is the part that bites
Guide