Can I Run / Qwen 3.5 2B / on AMD RX 9060 XT 16GB
Can I Run Qwen 3.5 2B on a AMD RX 9060 XT 16GB?
Yes
Runs at full precision (f32). Zero quality loss.
Model size
2.3B
GPU memory
16.0GB
Smallest quant
Q3_K_S
Best fit
f32
12 quantizations fit your 16.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| f32BEST | 10.2 GB | 11.7 GB | 1.3 GB | +5.8 GB |
| fp16 | 5.6 GB | 7.1 GB | 0.7 GB | +10.4 GB |
| Q8_0 | 3.4 GB | 4.9 GB | 2.0 GB | +12.6 GB |
| Q6_K | 2.9 GB | 4.4 GB | 1.6 GB | +13.1 GB |
| Q5_K_M | 2.6 GB | 4.1 GB | 1.4 GB | +13.4 GB |
| Q5_K_S | 2.6 GB | 4.1 GB | 1.4 GB | +13.4 GB |
| Q4_1 | 2.4 GB | 3.9 GB | 1.3 GB | +13.6 GB |
| Q4_K_M | 2.4 GB | 3.9 GB | 1.3 GB | +13.6 GB |
| Q4_K_S | 2.3 GB | 3.8 GB | 1.2 GB | +13.7 GB |
| Q4_0 | 2.3 GB | 3.8 GB | 1.2 GB | +13.7 GB |
| Q3_K_M | 2.0 GB | 3.5 GB | 1.1 GB | +14.0 GB |
| Q3_K_S | 1.9 GB | 3.4 GB | 1.0 GB | +14.1 GB |
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Full model details
Qwen 3.5 2B →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
AMD RX 9060 XT 16GB →
Top-ranked open-source models that fit in 16.0GB.
FAQ
Can the AMD RX 9060 XT 16GB run Qwen 3.5 2B?
Yes. The AMD RX 9060 XT 16GB's 16.0GB of VRAM is enough to run Qwen 3.5 2B at f32 quantization (10.2GB required).
What's the best quantization to use?
f32 is the highest-precision quantization that fits in your 16.0GB. It uses about 10.2GB of memory and 11.7GB 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.