Models › Gemma 4 E4B

Can I run Gemma 4 E4B in Australia?

Yes. The cheapest hardware we track that holds Gemma 4 E4B at Q4_K_M with an 8k context is the Intel Arc B580 12GB at A$419 (Scorptec, checked 20 Oct 2026, 7:44 am AEST). Expect roughly 55 tokens/sec (estimate).

Gemma · released 2 Mar 2026 · 4.1M HF downloads (last 30 days)

‘E4B’ = effective 4B; the full 8B weight total (incl. per-layer embeddings) is used for memory and speed, so estimates are conservative.

GGUF builds: unsloth · bartowski · ggml-org · lmstudio-community

Memory needed by quantisation (8k context)

All hardware that fits at Q4_K_M

The tok/s figures are bandwidth-based estimates for this model. Where a device has a measured benchmark, the estimate is calibrated to that run. They are not measurements. Methodology.

Graphics card + system RAM (partial layer offload)

Dense models can split layers between GPU and system RAM, but every token reads all the weights, so the RAM part is slow. All figures below are estimates (Q4_K_M, 8k context, dual-channel DDR5-5600). How we estimate.

DDR5 kit prices today: 32GB: A$610 (Mwave, checked 20 Oct 2026, 7:44 am AEST) · 64GB: A$1,499 (Mwave, checked 20 Oct 2026, 7:44 am AEST) · 128GB: A$2,511 (Mwave, not in stock online, checked 20 Oct 2026, 7:44 am AEST). Card + kit only; the rest of the PC isn't included. RAM-offload speeds are estimates and can be optimistic, so check community results below.

Community measured

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Try other quantisations and context lengths in the Can I run it? tool → · Submit your own Gemma 4 E4B benchmark →