Can the NVIDIA RTX 4070 Ti Super 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 Ti Super can run Qwen2.5 7B fully in VRAM at Q8_0 (near-lossless), using about 9.2 GB of the 16 GB available, at roughly 50 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.
New to this? Step-by-step setup for the RTX 4070 Ti Super
Run it in the cloud
No NVIDIA RTX 4070 Ti Super? 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 16 GB the NVIDIA RTX 4070 Ti Super can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 16.3 GB | Too big | — | |
| Q8_0 | Near-lossless | 9.2 GB | Fits | ~50 tok/s | |
| Q6_K | Excellent | 7.3 GB | Fits | ~65 tok/s | |
| Q5_K_M | Very good | 6.5 GB | Fits | ~74 tok/s | |
| Q4_K_M | Good, most popular | 5.7 GB | Fits | ~87 tok/s | |
| Q3_K_M | Noticeably degraded | 4.8 GB | Fits | ~108 tok/s | |
| Q2_K | Heavily degraded | 3.9 GB | Fits | ~141 tok/s |
GPUs that run Qwen2.5 7B comfortably
Models that run well on the NVIDIA RTX 4070 Ti Super
Frequently asked questions
Can NVIDIA RTX 4070 Ti Super run Qwen2.5 7B?
Yes. The NVIDIA RTX 4070 Ti Super can run Qwen2.5 7B fully in VRAM at Q8_0 (near-lossless), using about 9.2 GB of the 16 GB available, at roughly 50 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 Ti Super?
Roughly 50 tokens per second at Q8_0, estimated from the NVIDIA RTX 4070 Ti Super's 672 GB/s memory bandwidth.