Written by Jakub Rusinowski · Last updated March 12, 2025
Yes — comfortably
Yes, comfortably — Gemma 3 12B Instruct at Q6_K needs about 13.7 GB of the 19.2 GB usable on 24 GB system RAM, leaving ~5.5 GB spare and running at ~5.8 tok/s (estimated), with room for about 16,384 tokens of context.
Confidence: high · Recommended quantization: Q6_K · Estimated speed: ~5.8 tok/s
| Usable memory for models | 19.2 GB |
| Memory bandwidth | 90 GB/s |
| Quant | Memory needed | Fits 19.2 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 27.9 GB | ✗ No | — | — | 24 GB |
| Q8_0 | 16.6 GB | ✓ Yes | 8K | ~4.7 tok/s | 12.8 GB |
| Q6_K | 13.7 GB | ✓ Yes | 16K | ~5.8 tok/s | 9.8 GB |
| Q5_K_M | 12.4 GB | ✓ Yes | 16K | ~6.6 tok/s | 8.5 GB |
| Q4_K_M | 11.1 GB | ✓ Yes | 16K | ~7.5 tok/s | 7.2 GB |
| Q3_K_M | 9 GB | ✓ Yes | 32K | ~9.9 tok/s | 5.1 GB |
| Q2_K | 7.8 GB | ✓ Yes | 32K | ~11.9 tok/s | 3.9 GB |
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| Gemma 3 27B Instruct | 25.4 GB | ✗ Too large | — |
| Gemma 3 12B Instruct | 11.1 GB | ✓ Fits | ~7.5 tok/s |
| Gemma 3 4B Instruct | 4.4 GB | ✓ Fits | ~21.4 tok/s |
| Gemma 3 1B Instruct | 2 GB | ✓ Fits | ~63.6 tok/s |
llama.cpp (CPU build) or Ollama — both run without a GPU
Yes, comfortably — Gemma 3 12B Instruct at Q6_K needs about 13.7 GB of the 19.2 GB usable on 24 GB system RAM, leaving ~5.5 GB spare and running at ~5.8 tok/s (estimated), with room for about 16,384 tokens of context.
Q6_K — it needs about 13.7 GB of the 19.2 GB available, downloads as roughly 9.8 GB, and runs at an estimated 5.8 tokens/sec with up to 16K of context.
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
llama.cpp (CPU build) or Ollama — both run without a GPU