Can the NVIDIA RTX 4070 run Qwen2.5 7B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Yes. The NVIDIA RTX 4070 can run Qwen2.5 7B fully in VRAM at Q8_0 (near-lossless), using about 9.2 GB of the 12 GB available, at roughly 37 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 Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.
Run it in the cloud
No NVIDIA RTX 4070? 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 12 GB the NVIDIA RTX 4070 can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 16.3 GB | Too big | — | |
| Q8_0 | Near-lossless | 9.2 GB | Fits | ~37 tok/s | |
| Q6_K | Excellent | 7.3 GB | Fits | ~48 tok/s | |
| Q5_K_M | Very good | 6.5 GB | Fits | ~56 tok/s | |
| Q4_K_M | Good, most popular | 5.7 GB | Fits | ~65 tok/s | |
| Q3_K_M | Noticeably degraded | 4.8 GB | Fits | ~81 tok/s | |
| Q2_K | Heavily degraded | 3.9 GB | Fits | ~106 tok/s |
GPUs that run Qwen2.5 7B comfortably
Frequently asked questions
Can NVIDIA RTX 4070 run Qwen2.5 7B?
Yes. The NVIDIA RTX 4070 can run Qwen2.5 7B fully in VRAM at Q8_0 (near-lossless), using about 9.2 GB of the 12 GB available, at roughly 37 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 4070?
Roughly 37 tokens per second at Q8_0, estimated from the NVIDIA RTX 4070's 504 GB/s memory bandwidth.