Can the NVIDIA RTX 3070 run Qwen3 30B-A3B?

RTX 3070 × Qwen3 30B-A3B8K context
NoDoes not fit in memory
Memory at Q4_K_M19.9 GB of 8 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 3070 has 8 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.

Run it in the cloud

Too big for the NVIDIA RTX 3070? Run Qwen3 30B-A3B on a rented GPU instead.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 8 GB the NVIDIA RTX 3070 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 3070 run Qwen3 30B-A3B?

No. Even at Q4_K_M, Qwen3 30B-A3B needs about 19.9 GB, but the NVIDIA RTX 3070 has 8 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 3070?

It does not fit in the NVIDIA RTX 3070's memory, so most layers would run from system RAM and generation would be very slow.