Can I Run / granite 4.1 3b / on Apple M1 (8GB)
Can I Run granite 4.1 3b on a Apple M1 (8GB)?
Yes
Runs at Q8_0 — near-lossless quality.
Model size
3.4B
GPU memory
8.0GB
Smallest quant
Q3_K_S
Best fit
Q8_0
10 quantizations fit your 8.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 4.6 GB | 6.1 GB | 3.6 GB | +3.4 GB |
| Q6_K | 3.8 GB | 5.3 GB | 2.8 GB | +4.2 GB |
| Q5_K_M | 3.4 GB | 4.9 GB | 2.4 GB | +4.6 GB |
| Q5_K_S | 3.4 GB | 4.8 GB | 2.4 GB | +4.7 GB |
| Q4_1 | 3.1 GB | 4.6 GB | 2.2 GB | +4.9 GB |
| Q4_K_M | 3.1 GB | 4.6 GB | 2.1 GB | +4.9 GB |
| Q4_K_S | 3.0 GB | 4.5 GB | 2.0 GB | +5.0 GB |
| Q4_0 | 2.9 GB | 4.4 GB | 2.0 GB | +5.1 GB |
| Q3_K_M | 2.4 GB | 3.9 GB | 1.7 GB | +5.6 GB |
| Q3_K_S | 2.3 GB | 3.8 GB | 1.6 GB | +5.7 GB |
Try it in the cloud first
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Full model details
granite 4.1 3b →
All quant variants, benchmark scores, and use-case tags.
Best models for this GPU
Apple M1 (8GB) →
Top-ranked open-source models that fit in 8.0GB.
FAQ
Can the Apple M1 (8GB) run granite 4.1 3b?
Yes. The Apple M1 (8GB)'s 8.0GB of unified memory is enough to run granite 4.1 3b at Q8_0 quantization (4.6GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 8.0GB. It uses about 4.6GB of memory and 6.1GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.