Can the NVIDIA RTX 4090 run Qwen3 14B?

RTX 4090 × Qwen3 14B8K context
YesRuns fully on the GPU
Memory at Q8_017.7 GB of 24 GB
Weights 15.7 GBKV cache 1.3 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Memory17.7 GBof 24 GB usable
Speed~38tokens 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 14B fully in VRAM at Q8_0 (near-lossless), using about 17.7 GB of the 24 GB available, at roughly 38 tokens/second.

Run it with Ollama

With Ollama installed, one command downloads and starts Qwen3 14B:

ollama run qwen3:14b

Ollama's default download is Q4_K_M (about 10.9 GB here). You have room for Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.

Run it in the cloud

No NVIDIA RTX 4090? Run Qwen3 14B 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 quality31.5 GBToo big—
Q8_0Near-lossless17.7 GBFits~38 tok/s
Q6_KExcellent14.1 GBFits~50 tok/s
Q5_K_MVery good12.5 GBFits~57 tok/s
Q4_K_MGood, most popular10.9 GBFits~67 tok/s
Q3_K_MNoticeably degraded9.2 GBFits~84 tok/s
Q2_KHeavily degraded7.5 GBFits~109 tok/s

Frequently asked questions

Can NVIDIA RTX 4090 run Qwen3 14B?

Yes. The NVIDIA RTX 4090 can run Qwen3 14B fully in VRAM at Q8_0 (near-lossless), using about 17.7 GB of the 24 GB available, at roughly 38 tokens/second.

How much VRAM does Qwen3 14B need?

About 10.9 GB at Q4_K_M with 8,192 tokens of context, and about 31.5 GB at full FP16 precision.

How fast is Qwen3 14B on the NVIDIA RTX 4090?

Roughly 38 tokens per second at Q8_0, estimated from the NVIDIA RTX 4090's 1008 GB/s memory bandwidth.