Can the NVIDIA RTX 4090 run Qwen3 4B?

RTX 4090 × Qwen3 4B8K context
YesRuns fully on the GPU
Memory at FP169.8 GB of 24 GB
Weights 8 GBKV cache 1.2 GBRuntime 0.6 GB
QuantFP16Full quality
Memory9.8 GBof 24 GB usable
Speed~75tokens per second
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The NVIDIA RTX 4090 can run Qwen3 4B fully in VRAM at FP16 (full quality), using about 9.8 GB of the 24 GB available, at roughly 75 tokens/second.

Run it with Ollama

With Ollama installed, one command downloads and starts Qwen3 4B:

ollama run qwen3:4b

Ollama's default download is Q4_K_M (about 4.2 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX 4090

Run it in the cloud

No NVIDIA RTX 4090? Run Qwen3 4B in the cloud.

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 24 GB the NVIDIA RTX 4090 can use.

QuantQualityMemoryFits?Speed
FP16Full quality9.8 GBFits~75 tok/s
Q8_0Near-lossless6.1 GBFits~142 tok/s
Q6_KExcellent5.1 GBFits~183 tok/s
Q5_K_MVery good4.7 GBFits~212 tok/s
Q4_K_MGood, most popular4.2 GBFits~248 tok/s
Q3_K_MNoticeably degraded3.8 GBFits~308 tok/s
Q2_KHeavily degraded3.3 GBFits~401 tok/s

Frequently asked questions

Can NVIDIA RTX 4090 run Qwen3 4B?

Yes. The NVIDIA RTX 4090 can run Qwen3 4B fully in VRAM at FP16 (full quality), using about 9.8 GB of the 24 GB available, at roughly 75 tokens/second.

How much VRAM does Qwen3 4B need?

About 4.2 GB at Q4_K_M with 8,192 tokens of context, and about 9.8 GB at full FP16 precision.

How fast is Qwen3 4B on the NVIDIA RTX 4090?

Roughly 75 tokens per second at FP16, estimated from the NVIDIA RTX 4090's 1008 GB/s memory bandwidth.