Can the NVIDIA RTX 3080 Ti run Qwen3 8B?
- 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 8B fully in VRAM at Q8_0 (near-lossless), using about 10.5 GB of the 12 GB available, at roughly 63 tokens/second.
Run it with Ollama
With Ollama installed, one command downloads and starts Qwen3 8B:
ollama run qwen3:8bOllama's default download is Q4_K_M (about 6.8 GB here). You have room for Q8_0, which is near-lossless: 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 8B 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 | 18.2 GB | Too big | — | |
| Q8_0 | Near-lossless | 10.5 GB | Fits | ~63 tok/s | |
| Q6_K | Excellent | 8.5 GB | Fits | ~81 tok/s | |
| Q5_K_M | Very good | 7.6 GB | Fits | ~94 tok/s | |
| Q4_K_M | Good, most popular | 6.8 GB | Fits | ~110 tok/s | |
| Q3_K_M | Noticeably degraded | 5.8 GB | Fits | ~137 tok/s | |
| Q2_K | Heavily degraded | 4.9 GB | Fits | ~178 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 8B 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 8B 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 -- qwen3:8bWindows (PowerShell)
$env:GPUFIT_MODEL="qwen3:8b"; irm https://gpufit.dev/bench.ps1 | iexGPUs that run Qwen3 8B comfortably
Frequently asked questions
Can NVIDIA RTX 3080 Ti run Qwen3 8B?
Yes. The NVIDIA RTX 3080 Ti can run Qwen3 8B fully in VRAM at Q8_0 (near-lossless), using about 10.5 GB of the 12 GB available, at roughly 63 tokens/second.
How much VRAM does Qwen3 8B need?
About 6.8 GB at Q4_K_M with 8,192 tokens of context, and about 18.2 GB at full FP16 precision.
How fast is Qwen3 8B on the NVIDIA RTX 3080 Ti?
Roughly 63 tokens per second at Q8_0, estimated from the NVIDIA RTX 3080 Ti's 912 GB/s memory bandwidth.