Can the NVIDIA RTX 4090 run Qwen2.5 7B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Yes. The NVIDIA RTX 4090 can run Qwen2.5 7B fully in VRAM at FP16 (full quality), using about 16.3 GB of the 24 GB available, at roughly 40 tokens/second.
Run it with Ollama
With Ollama installed, one command downloads and starts Qwen2.5 7B:
ollama run qwen2.5:7bOllama's default download is Q4_K_M (about 5.7 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 Qwen2.5 7B 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 | 16.3 GB | Fits | ~40 tok/s | |
| Q8_0 | Near-lossless | 9.2 GB | Fits | ~75 tok/s | |
| Q6_K | Excellent | 7.3 GB | Fits | ~97 tok/s | |
| Q5_K_M | Very good | 6.5 GB | Fits | ~112 tok/s | |
| Q4_K_M | Good, most popular | 5.7 GB | Fits | ~131 tok/s | |
| Q3_K_M | Noticeably degraded | 4.8 GB | Fits | ~162 tok/s | |
| Q2_K | Heavily degraded | 3.9 GB | Fits | ~212 tok/s |
GPUs that run Qwen2.5 7B comfortably
Frequently asked questions
Can NVIDIA RTX 4090 run Qwen2.5 7B?
Yes. The NVIDIA RTX 4090 can run Qwen2.5 7B fully in VRAM at FP16 (full quality), using about 16.3 GB of the 24 GB available, at roughly 40 tokens/second.
How much VRAM does Qwen2.5 7B need?
About 5.7 GB at Q4_K_M with 8,192 tokens of context, and about 16.3 GB at full FP16 precision.
How fast is Qwen2.5 7B on the NVIDIA RTX 4090?
Roughly 40 tokens per second at FP16, estimated from the NVIDIA RTX 4090's 1008 GB/s memory bandwidth.