Can I Run Gemma 4 E2B on Apple M3?
Written by Jakub Rusinowski · Last updated July 12, 2026
Yes. Gemma 4 E2B needs 4.7 GB at 8K context (2.9 GB weights + 1.8 GB KV cache/overhead) at Q4 (QAT) and the Apple M3 has 18 GB usable, leaving about 13.3 GB of headroom, at roughly 15 tok/s (estimated).
See what else this hardware can run →
The numbers
| Model | Gemma 4 E2B |
| Parameters | 2B (Efficient) |
| Quantization | Q4 (QAT) |
| VRAM needed (8K context) | 4.7 GB |
| Apple M3 usable memory | 18 GB |
| Verdict | Runs |
| Estimated speed | ~15 tok/s |
Gemma 4 E2B on the Apple M3: VRAM by quantization
| Quant | VRAM needed | Fits 24 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 12 GB | ✓ Yes | 32K | — |
| Q8_0 | 7.2 GB | ✓ Yes | 64K | — |
| Q6_K | 6 GB | ✓ Yes | 64K | — |
| Q5_K_M | 5.4 GB | ✓ Yes | 64K | — |
| Q4_K_M | 4.9 GB | ✓ Yes | 64K | — |
| Q3_K_M | 4 GB | ✓ Yes | 64K | — |
| Q2_K | 3.5 GB | ✓ Yes | 64K | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 24 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4 (QAT) on the Apple M3: 8K 4.7 GB · 32K 7.7 GB · 125K 19.4 GB ✗. Past 125K it no longer fits 24 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
What to do next
Nothing to change — run it at Q4 (QAT). If you want more capability, check whether the next size up also fits.
No compatible GPU? Gemma 4 E2B on 8 GB of system RAM, CPU only: runs, but it is tight.
Running Gemma 4 E2B on this card:
Gemma 4 E2B needs ~5 GB but this GPU has 24 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Other Gemma 4 sizes on the Apple M3
- Gemma 4 31B — runs at a lower quant (21.3 GB)
- Gemma 4 26B-A4B — runs at a lower quant (18.2 GB)
- Gemma 4 12B (Unified) — runs (9.4 GB)
- Gemma 4 E4B — runs (6.4 GB)
Gemma 4 E2B on nearby hardware
- AMD Radeon RX 7900 XT (20 GB) — runs
- NVIDIA GeForce RTX 5090 (32 GB) — runs
All Gemma 4 sizes on the Apple M3 | Gemma 4 E2B model page | Apple M3 GPU page | VRAM calculator | Check your hardware