Can I run gemma-4-31B-it-uncensored on a Radeon RX 6500 XT?
Not at these settings. No indexed quantization of gemma-4-31B-it-uncensored fits Radeon RX 6500 XT at any context we compute, with q4_0 KV. The smallest shipped quantization is 11.10 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 | 30.39 GiB | 31.9 | 32.1 | 32.4 | 33.1 | 34.5 | 37.3 |
| Q6_K | 23.47 GiB | 25.0 | 25.1 | 25.5 | 26.2 | 27.6 | 30.4 |
| Q5_K_M | 20.35 GiB | 21.8 | 22.0 | 22.4 | 23.1 | 24.5 | 27.3 |
| Q4_K_M | 17.40 GiB | 18.9 | 19.1 | 19.4 | 20.1 | 21.5 | 24.3 |
| Q3_K_M | 14.24 GiB | 15.7 | 15.9 | 16.3 | 17.0 | 18.4 | 21.2 |
| Q2_K | 11.10 GiB | 12.6 | 12.8 | 13.1 | 13.8 | 15.2 | 18.0 |
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 1,024-token window rather than the full context.