Can the NVIDIA RTX 3080 10GB run Qwen3 4B?
Yes
QuantFP16Full quality
Memory9.8 GBof 10 GB
Speed~57tokens/s
Yes. The NVIDIA RTX 3080 10GB can run Qwen3 4B fully in VRAM at FP16 (full quality), using about 9.8 GB of the 10 GB available, at roughly 57 tokens/second.
Try other context lengths in the calculator →Memory needed by quantization
At 8,192 tokens of context.
| Quant | Quality | Memory | Fits? | Speed |
|---|---|---|---|---|
| FP16 | Full quality | 9.8 GB | Fits | ~57 tok/s |
| Q8_0 | Near-lossless | 6.1 GB | Fits | ~107 tok/s |
| Q6_K | Excellent | 5.1 GB | Fits | ~138 tok/s |
| Q5_K_M | Very good | 4.7 GB | Fits | ~159 tok/s |
| Q4_K_M | Good, most popular | 4.2 GB | Fits | ~187 tok/s |
| Q3_K_M | Noticeably degraded | 3.8 GB | Fits | ~232 tok/s |
| Q2_K | Heavily degraded | 3.3 GB | Fits | ~302 tok/s |
How to run Qwen3 4B on the NVIDIA RTX 3080 10GB
With Ollama installed, one command downloads and starts it:
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.
GPUs that run Qwen3 4B comfortably
- NVIDIA RTX 4060 (8 GB)
- NVIDIA RTX 3070 (8 GB)
- NVIDIA RTX 3060 12GB
- NVIDIA RTX 4070 (12 GB)
- NVIDIA RTX 5070 (12 GB)
Models that run well on the NVIDIA RTX 3080 10GB
Run it in the cloud
Don't want to buy hardware? Run Qwen3 4B on a rented GPU today.
Rent a cloud GPU by the hour. No upfront cost, cancel any time.