Can I Run / Qwen 3.5 9B / on NVIDIA RTX 3080 10GB
Can I Run Qwen 3.5 9B on a NVIDIA RTX 3080 10GB?
Yes
Runs comfortably at Q6_K — minimal quality loss.
Model size
9.0B
GPU memory
10.0GB
Smallest quant
Q4_K_M
Best fit
Q6_K
3 quantizations fit your 10.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q6_KBEST | 8.4 GB | 9.9 GB | 7.4 GB | +1.6 GB |
| Q5_K_M | 7.4 GB | 8.9 GB | 6.4 GB | +2.6 GB |
| Q4_K_M | 6.5 GB | 8.0 GB | 5.5 GB | +3.5 GB |
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Full model details
Qwen 3.5 9B →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
NVIDIA RTX 3080 10GB →
Top-ranked open-source models that fit in 10.0GB.
FAQ
Can the NVIDIA RTX 3080 10GB run Qwen 3.5 9B?
Yes. The NVIDIA RTX 3080 10GB's 10.0GB of VRAM is enough to run Qwen 3.5 9B at Q6_K quantization (8.4GB required).
What's the best quantization to use?
Q6_K is the highest-precision quantization that fits in your 10.0GB. It uses about 8.4GB of memory and 9.9GB 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.