Can I run gemma-4-E4B-Agentic-Opus-Reasoning-GeminiCLI-mlx-4bit on a Radeon RX 6500 XT?
Not at these settings. No indexed quantization of gemma-4-E4B-Agentic-Opus-Reasoning-GeminiCLI-mlx-4bit fits Radeon RX 6500 XT at any context we compute, with q8_0 KV. The smallest shipped quantization is 4.97 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◐ |
|---|---|---|---|---|---|---|---|
| F16 | 14.02 GiB | 15.0 | 15.0 | 15.1 | 15.2 | 15.4 | 15.9 |
| Q8_0 | 7.48 GiB | 8.5 | 8.5 | 8.5 | 8.7 | 8.9 | 9.4 |
| Q5_K_M | 5.37 GiB | 6.3 | 6.4 | 6.4 | 6.6 | 6.8 | 7.2 |
| Q4_K_M | 4.97 GiB | 6.0 | 6.0 | 6.0 | 6.2 | 6.4 | 6.9 |
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 512-token window rather than the full context.