Fallen-Gemma3-27B-v1

40 of 48 layers cache only a 1,024-token window rather than the full context, on a period of 6. Figures assume the default configuration; --swa-full disables the saving entirely.

A parameters × bits ÷ 8 estimate puts Q4_K_M at roughly 14.37 GiB. The real file is 15.41 GiB, because a quantization is a mixture and some tensors are always kept at higher precision. The larger discrepancy is the cache: a flat formula gives 11.25 GiB at 32K context where the real figure is 2.31 GiB, because most of this model's layers cache a fixed window rather than the whole context.

How much VRAM does Fallen-Gemma3-27B-v1 need?

Q4_K_M is exactly 16,546,688,704 bytes (15.41 GiB) in weights. Add the KV cache, which depends on your context length, plus roughly half a gigabyte of runtime overhead.

How large is Fallen-Gemma3-27B-v1's KV cache?

2.31 GiB at 32K context with an f16 cache, computed per layer. Quantizing the cache to q8_0 roughly halves it, which is often the difference between a context length fitting and not.

Which quantization of Fallen-Gemma3-27B-v1 should I use?

Q4_K_M is the usual default. Pick the largest quantization that fits your card at the context you actually need — the table above gives exact sizes for every one published.