Can the NVIDIA RTX 4090 run Qwen3 4B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Yes. The NVIDIA RTX 4090 can run Qwen3 4B fully in VRAM at FP16 (full quality), using about 9.8 GB of the 24 GB available, at roughly 75 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 4090
Run it in the cloud
No NVIDIA RTX 4090? 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 24 GB the NVIDIA RTX 4090 can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 9.8 GB | Fits | ~75 tok/s | |
| Q8_0 | Near-lossless | 6.1 GB | Fits | ~142 tok/s | |
| Q6_K | Excellent | 5.1 GB | Fits | ~183 tok/s | |
| Q5_K_M | Very good | 4.7 GB | Fits | ~212 tok/s | |
| Q4_K_M | Good, most popular | 4.2 GB | Fits | ~248 tok/s | |
| Q3_K_M | Noticeably degraded | 3.8 GB | Fits | ~308 tok/s | |
| Q2_K | Heavily degraded | 3.3 GB | Fits | ~401 tok/s |
GPUs that run Qwen3 4B comfortably
Frequently asked questions
Can NVIDIA RTX 4090 run Qwen3 4B?
Yes. The NVIDIA RTX 4090 can run Qwen3 4B fully in VRAM at FP16 (full quality), using about 9.8 GB of the 24 GB available, at roughly 75 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 4090?
Roughly 75 tokens per second at FP16, estimated from the NVIDIA RTX 4090's 1008 GB/s memory bandwidth.