Can the NVIDIA RTX 4060 run Qwen2.5 7B?
Yes
QuantQ6_KExcellent
Memory7.3 GBof 8 GB
Speed~26tokens/s
Yes. The NVIDIA RTX 4060 can run Qwen2.5 7B fully in VRAM at Q6_K (excellent), using about 7.3 GB of the 8 GB available, at roughly 26 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 | 16.3 GB | Too big | — |
| Q8_0 | Near-lossless | 9.2 GB | Too big | — |
| Q6_K | Excellent | 7.3 GB | Fits | ~26 tok/s |
| Q5_K_M | Very good | 6.5 GB | Fits | ~30 tok/s |
| Q4_K_M | Good, most popular | 5.7 GB | Fits | ~35 tok/s |
| Q3_K_M | Noticeably degraded | 4.8 GB | Fits | ~44 tok/s |
| Q2_K | Heavily degraded | 3.9 GB | Fits | ~57 tok/s |
How to run Qwen2.5 7B on the NVIDIA RTX 4060
With Ollama installed, one command downloads and starts it:
ollama run qwen2.5:7bOllama's default download is Q4_K_M (about 5.7 GB here). You have room for Q6_K, which is excellent: pick that GGUF in LM Studio or from Hugging Face.
GPUs that run Qwen2.5 7B comfortably
- NVIDIA RTX 3070 (8 GB)
- NVIDIA RTX 3080 10GB
- NVIDIA RTX 3060 12GB
- NVIDIA RTX 4070 (12 GB)
- NVIDIA RTX 5070 (12 GB)
Models that run well on the NVIDIA RTX 4060
Run it in the cloud
Don't want to buy hardware? Run Qwen2.5 7B on a rented GPU today.
Rent a cloud GPU by the hour. No upfront cost, cancel any time.