Google's efficient open models. The 9B is a standout for its size. 8K context.
chatgeneral · sizes: 2B, 9B, 27B · Gemma
| machine | best fit | verdict | speed |
|---|---|---|---|
| Apple M1 · 8GB | 2B Q4_K_M | ✅ Runs (tight) | 16–25 tok/s |
| Apple M1 Pro · 16GB | 2B Q8_0 | ✅ Runs comfortably | 30–50 tok/s |
| Apple M2 · 16GB | 2B Q8_0 | ✅ Runs comfortably | 17–30 tok/s |
| Apple M3 Pro · 18GB | 9B Q4_K_M | ✅ Runs (tight) | 10–16 tok/s |
| Apple M2 Pro · 32GB | 27B Q3_K_M | ✅ Runs (tight) | 7–11 tok/s |
| Apple M4 Pro · 48GB | 27B Q8_0 | ✅ Runs (tight) | 4–7 tok/s |
| Apple M3 Max · 36GB | 27B Q4_K_M | ✅ Runs (tight) | 9–15 tok/s |
| Apple M2 Max · 64GB | 27B Q8_0 | ✅ Runs comfortably | 6–10 tok/s |
| Apple M4 Max · 128GB | 27B Q8_0 | ✅ Runs comfortably | 7–12 tok/s |
| Apple M2 Ultra · 192GB | 27B Q8_0 | ✅ Runs comfortably | 8–13 tok/s |
| NVIDIA GeForce RTX 3060 · 12GB VRAM | 9B Q6_K | ✅ Runs (tight) | 14–25 tok/s |
| NVIDIA GeForce RTX 4070 · 12GB VRAM | 9B Q6_K | ✅ Runs (tight) | 20–35 tok/s |
| NVIDIA GeForce RTX 4090 · 24GB VRAM | 27B Q4_K_M | ✅ Runs (tight) | 20–35 tok/s |
| NVIDIA GeForce RTX 5080 · 16GB VRAM | 9B Q8_0 | ✅ Runs (tight) | 30–50 tok/s |
| NVIDIA GeForce RTX 5090 · 32GB VRAM | 27B Q5_K_M | ✅ Runs comfortably | 35–60 tok/s |
| AMD Radeon RX 7900 XTX · 24GB VRAM | 27B Q4_K_M | ✅ Runs (tight) | 19–30 tok/s |
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3 models share Gemma 2's KV-cache geometry — they size memory the same way, so a rig that fits one tends to fit its same-size kin.
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