Can the NVIDIA RTX 4070 Super run Qwen3 14B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Yes. The NVIDIA RTX 4070 Super can run Qwen3 14B fully in VRAM at Q4_K_M (good, most popular), using about 10.9 GB of the 12 GB available, at roughly 34 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). That is also the best quant that fits.
New to this? Step-by-step setup for the RTX 4070 Super
Run it in the cloud
No NVIDIA RTX 4070 Super? 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 12 GB the NVIDIA RTX 4070 Super can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 31.5 GB | Too big | — | |
| Q8_0 | Near-lossless | 17.7 GB | Too big | — | |
| Q6_K | Excellent | 14.1 GB | Too big | — | |
| Q5_K_M | Very good | 12.5 GB | Too big | — | |
| Q4_K_M | Good, most popular | 10.9 GB | Fits | ~34 tok/s | |
| Q3_K_M | Noticeably degraded | 9.2 GB | Fits | ~42 tok/s | |
| Q2_K | Heavily degraded | 7.5 GB | Fits | ~54 tok/s |
Measured speed from real RTX 4070 Super owners
Tokens per second that people measured on their own NVIDIA RTX 4070 Super, next to our estimate.
No one has measured Qwen3 14B on the NVIDIA RTX 4070 Super yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.
Have an RTX 4070 Super? Add your real speed
One command times Qwen3 14B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.
macOS and Linux
curl -fsSL https://gpufit.dev/bench.sh | sh -s -- qwen3:14bWindows (PowerShell)
$env:GPUFIT_MODEL="qwen3:14b"; irm https://gpufit.dev/bench.ps1 | iexGPUs that run Qwen3 14B comfortably
Frequently asked questions
Can NVIDIA RTX 4070 Super run Qwen3 14B?
Yes. The NVIDIA RTX 4070 Super can run Qwen3 14B fully in VRAM at Q4_K_M (good, most popular), using about 10.9 GB of the 12 GB available, at roughly 34 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 4070 Super?
Roughly 34 tokens per second at Q4_K_M, estimated from the NVIDIA RTX 4070 Super's 504 GB/s memory bandwidth.