Can I Run / Qwen 2.5 Coder 7B / on NVIDIA RTX 2070
Can I Run Qwen 2.5 Coder 7B on a NVIDIA RTX 2070?
Yes
Runs comfortably at Q6_K — minimal quality loss.
Model size
7.6B
GPU memory
8.0GB
Smallest quant
Q4_K_M
Best fit
Q6_K
3 quantizations fit your 8.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q6_KBEST | 7.3 GB | 8.8 GB | 6.3 GB | +0.7 GB |
| Q5_K_M | 6.4 GB | 7.9 GB | 5.4 GB | +1.6 GB |
| Q4_K_M | 5.6 GB | 7.1 GB | 4.6 GB | +2.4 GB |
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Full model details
Qwen 2.5 Coder 7B →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
NVIDIA RTX 2070 →
Top-ranked open-source models that fit in 8.0GB.
FAQ
Can the NVIDIA RTX 2070 run Qwen 2.5 Coder 7B?
Yes. The NVIDIA RTX 2070's 8.0GB of VRAM is enough to run Qwen 2.5 Coder 7B at Q6_K quantization (7.3GB required).
What's the best quantization to use?
Q6_K is the highest-precision quantization that fits in your 8.0GB. It uses about 7.3GB of memory and 8.8GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.