How much VRAM does Gemma-4-31B-Fable-5-Agent-Distill need?

Its published quantizations range from 12.82 GiB to 57.20 GiB in weights alone, before KV cache and runtime overhead.

Gemma-4-31B-Fable-5-Agent-Distill on Apple M3 Pro

Can I run Gemma-4-31B-Fable-5-Agent-Distill on a Apple M3 Pro?

Q: Can I run Gemma-4-31B-Fable-5-Agent-Distill on a Apple M3 Pro?

No. No published quantization of Gemma-4-31B-Fable-5-Agent-Distill fits a Apple M3 Pro at any context with q8_0 KV cache.

Not at these settings. No indexed quantization of Gemma-4-31B-Fable-5-Agent-Distill fits Apple M3 Pro at any context we compute, with q8_0 KV. The smallest shipped quantization is 12.82 GiB in weights alone, against 12.56 GiB usable. CPU offload can still run it, slowly.

From the file· weights summed from filesFrom the file· KV computed per layerPredicted· speed and compute buffer

KV cache dtypef16 q8_0 q4_0— 18 GB card, 12.56 GiB usable after overhead

Every quantization at every context

total memory required; green fits, red does not

Quant	Weights●	4K◐	8K◐	16K◐	32K◐	64K◐	128K◐
BF16	57.20 GiB	58.8	59.1	59.8	61.1	63.8	69.1
Q8_0	30.39 GiB	32.0	32.3	33.0	34.3	37.0	42.3
Q6_K	23.47 GiB	25.1	25.4	26.1	27.4	30.0	35.3
Q5_K_M	20.35 GiB	21.9	22.3	22.9	24.3	26.9	32.2
Q4_K_M	17.40 GiB	19.0	19.3	20.0	21.3	24.0	29.3
IQ4_NL	16.53 GiB	18.1	18.5	19.1	20.4	23.1	28.4
Q3_K_M	14.24 GiB	15.8	16.2	16.8	18.1	20.8	26.1
Q3_K_S	12.82 GiB	14.4	14.7	15.4	16.7	19.4	24.7

●From the file◐Predictedwhat these mean

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.