Can the NVIDIA RTX 3080 Ti run Qwen3 4B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Yes. The NVIDIA RTX 3080 Ti can run Qwen3 4B fully in VRAM at FP16 (full quality), using about 9.8 GB of the 12 GB available, at roughly 68 tokens/second.
Run it with Ollama
With Ollama installed, one command downloads and starts Qwen3 4B:
ollama run qwen3:4bOllama'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 3080 Ti
Run it in the cloud
No NVIDIA RTX 3080 Ti? 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 12 GB the NVIDIA RTX 3080 Ti can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 9.8 GB | Fits | ~68 tok/s | |
| Q8_0 | Near-lossless | 6.1 GB | Fits | ~128 tok/s | |
| Q6_K | Excellent | 5.1 GB | Fits | ~166 tok/s | |
| Q5_K_M | Very good | 4.7 GB | Fits | ~191 tok/s | |
| Q4_K_M | Good, most popular | 4.2 GB | Fits | ~225 tok/s | |
| Q3_K_M | Noticeably degraded | 3.8 GB | Fits | ~279 tok/s | |
| Q2_K | Heavily degraded | 3.3 GB | Fits | ~363 tok/s |
Measured speed from real RTX 3080 Ti owners
Tokens per second that people measured on their own NVIDIA RTX 3080 Ti, next to our estimate.
No one has measured Qwen3 4B on the NVIDIA RTX 3080 Ti yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.
Have an RTX 3080 Ti? Add your real speed
One command times Qwen3 4B 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 -- qwen3:4bWindows (PowerShell)
$env:GPUFIT_MODEL="qwen3:4b"; irm https://gpufit.dev/bench.ps1 | iexGPUs that run Qwen3 4B comfortably
Frequently asked questions
Can NVIDIA RTX 3080 Ti run Qwen3 4B?
Yes. The NVIDIA RTX 3080 Ti can run Qwen3 4B fully in VRAM at FP16 (full quality), using about 9.8 GB of the 12 GB available, at roughly 68 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 3080 Ti?
Roughly 68 tokens per second at FP16, estimated from the NVIDIA RTX 3080 Ti's 912 GB/s memory bandwidth.