Can the NVIDIA RTX 4070 run Qwen3 30B-A3B?

RTX 4070 × Qwen3 30B-A3B8K context
NoDoes not fit in memory
Memory at Q4_K_M19.9 GB of 12 GB
Weights 18.5 GBKV cache 0.8 GBRuntime 0.6 GB
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

No. Even at Q4_K_M, Qwen3 30B-A3B needs about 19.9 GB, but the NVIDIA RTX 4070 has 12 GB usable. You could offload some layers to system RAM, but it will be very slow.

Run it on a rented GPU

On a cloud GPU with enough memory, the same command you'd use locally works:

ollama run qwen3:30b

At Q4_K_M it needs about 19.9 GB, so pick a GPU with at least 24 GB.

New to this? Step-by-step setup for the RTX 4070

Run it in the cloud

Too big for the NVIDIA RTX 4070? Run Qwen3 30B-A3B on a rented GPU instead.

Rent a cloud GPU by the hour. No upfront cost, stop any time. Not sure whether to rent or buy? Compare the cost.

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 12 GB the NVIDIA RTX 4070 can use.

QuantQualityMemoryFits?Speed
FP16Full quality62.4 GBToo big—
Q8_0Near-lossless33.8 GBToo big—
Q6_KExcellent26.4 GBToo big—
Q5_K_MVery good23.1 GBToo big—
Q4_K_MGood, most popular19.9 GBToo big—
Q3_K_MNoticeably degraded16.3 GBToo big—
Q2_KHeavily degraded12.8 GBToo big—

Frequently asked questions

Can NVIDIA RTX 4070 run Qwen3 30B-A3B?

No. Even at Q4_K_M, Qwen3 30B-A3B needs about 19.9 GB, but the NVIDIA RTX 4070 has 12 GB usable. You could offload some layers to system RAM, but it will be very slow.

How much VRAM does Qwen3 30B-A3B need?

About 19.9 GB at Q4_K_M with 8,192 tokens of context, and about 62.4 GB at full FP16 precision.

How fast is Qwen3 30B-A3B on the NVIDIA RTX 4070?

It does not fit in the NVIDIA RTX 4070's memory, so most layers would run from system RAM and generation would be very slow.