Can the NVIDIA RTX 5090 run Qwen3 14B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Yes. The NVIDIA RTX 5090 can run Qwen3 14B fully in VRAM at FP16 (full quality), using about 31.5 GB of the 32 GB available, at roughly 36 tokens/second.
Run it with Ollama
With Ollama installed, one command downloads and starts Qwen3 14B:
ollama run qwen3:14bOllama's default download is Q4_K_M (about 10.9 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.
Run it in the cloud
No NVIDIA RTX 5090? 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 32 GB the NVIDIA RTX 5090 can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 31.5 GB | Fits | ~36 tok/s | |
| Q8_0 | Near-lossless | 17.7 GB | Fits | ~68 tok/s | |
| Q6_K | Excellent | 14.1 GB | Fits | ~89 tok/s | |
| Q5_K_M | Very good | 12.5 GB | Fits | ~102 tok/s | |
| Q4_K_M | Good, most popular | 10.9 GB | Fits | ~120 tok/s | |
| Q3_K_M | Noticeably degraded | 9.2 GB | Fits | ~149 tok/s | |
| Q2_K | Heavily degraded | 7.5 GB | Fits | ~194 tok/s |
GPUs that run Qwen3 14B comfortably
Frequently asked questions
Can NVIDIA RTX 5090 run Qwen3 14B?
Yes. The NVIDIA RTX 5090 can run Qwen3 14B fully in VRAM at FP16 (full quality), using about 31.5 GB of the 32 GB available, at roughly 36 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 5090?
Roughly 36 tokens per second at FP16, estimated from the NVIDIA RTX 5090's 1792 GB/s memory bandwidth.