Can I run Qwen3-15B-A2B-Base on a Radeon RX 6500 XT?
Not at these settings. No indexed quantization of Qwen3-15B-A2B-Base fits Radeon RX 6500 XT at any context we compute, with q4_0 KV. The smallest shipped quantization is 5.41 GiB in weights alone, against 3.72 GiB usable. CPU offload can still run it, slowly.
Every quantization at every context
| Quant | Weights● | 4K◐ | 8K◐ | 16K◐ | 32K◐ | 64K◐ | 128K◐ |
|---|---|---|---|---|---|---|---|
| Q8_0 | 15.44 GiB | 16.4 | 16.4 | 16.5 | 16.8 | 17.2 | 18.0 |
| Q6_K | 11.93 GiB | 12.9 | 12.9 | 13.0 | 13.2 | 13.7 | 14.5 |
| Q5_K_M | 10.34 GiB | 11.3 | 11.3 | 11.5 | 11.7 | 12.1 | 12.9 |
| Q5_K_S | 10.04 GiB | 11.0 | 11.0 | 11.1 | 11.4 | 11.8 | 12.6 |
| Q4_K_M | 8.84 GiB | 9.8 | 9.9 | 10.0 | 10.2 | 10.6 | 11.4 |
| Q4_K_S | 8.33 GiB | 9.3 | 9.3 | 9.4 | 9.7 | 10.1 | 10.9 |
| IQ4_XS | 7.91 GiB | 8.9 | 8.9 | 9.0 | 9.2 | 9.7 | 10.5 |
| Q3_K_L | 7.59 GiB | 8.5 | 8.6 | 8.7 | 8.9 | 9.3 | 10.2 |
| Q3_K_M | 7.02 GiB | 8.0 | 8.0 | 8.1 | 8.3 | 8.8 | 9.6 |
| Q3_K_S | 6.37 GiB | 7.3 | 7.4 | 7.5 | 7.7 | 8.1 | 9.0 |
| Q2_K | 5.41 GiB | 6.4 | 6.4 | 6.5 | 6.7 | 7.2 | 8.0 |
Figures are GiB of total memory: weights plus KV cache plus compute buffer and backend overhead. Weights and KV are near-exact; the overhead term is modeled. Hover any cell for the breakdown.
Why other calculators disagree
A parameters × bits ÷ 8 estimate ignores two things that dominate at long context. First, the weights themselves are not the nominal rate — quantizations are mixtures, so the real file is consistently larger than the label implies. Second, most of this model's layers cache only a 4,096-token window rather than the full context.