Can I Run Cogito v1 on Mac Studio (M4 Max, 64 GB)?
Written by Jakub Rusinowski · Last updated March 20, 2026
Yes, but it is tight
Yes, but it is tight — Cogito v1 70B at Q4_K_M needs about 45.7 GB of the 48 GB usable on Mac Studio (M4 Max, 64 GB), leaving only ~2.3 GB before the runtime starts swapping. Expect ~6.7 tok/s (estimated), with room for about 8,192 tokens of context.
Confidence: medium · Recommended quantization: Q4_K_M · Estimated speed: ~6.7 tok/s
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Mac Studio (M4 Max, 64 GB) — what it gives a model
| Usable memory for models | 48 GB |
| Memory bandwidth | 546 GB/s |
| Form factor | Desktop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
Cogito v1 on Mac Studio (M4 Max, 64 GB): memory by quantization
| Quant | Memory needed | Fits 48 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 143.5 GB | ✗ No | — | — | 140 GB |
| Q8_0 | 77.9 GB | ✗ No | — | — | 74.4 GB |
| Q6_K | 60.9 GB | ✗ No | — | — | 57.4 GB |
| Q5_K_M | 53.1 GB | ✗ No | — | — | 49.6 GB |
| Q4_K_M | 45.7 GB | ✓ Yes | 8K | ~6.7 tok/s | 42.3 GB |
| Q3_K_M | 33.3 GB | ✓ Yes | 32K | ~9.3 tok/s | 29.8 GB |
| Q2_K | 26.5 GB | ✓ Yes | 64K | ~11.9 tok/s | 23 GB |
Which Cogito v1 sizes fit
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| Cogito v1 70B | 45.7 GB | ✓ Fits | ~6.7 tok/s |
| Cogito v1 32B | 22.3 GB | ✓ Fits | ~14.1 tok/s |
| Cogito v1 14B | 10.9 GB | ✓ Fits | ~29.5 tok/s |
| Cogito v1 8B | 6.7 GB | ✓ Fits | ~47.8 tok/s |
| Cogito v1 3B | 3.6 GB | ✓ Fits | ~94.1 tok/s |
What to watch out for
- Memory on this machine is not upgradeable, so the configuration you buy is the ceiling for every model you will ever run on it.
Mac Studio M4 Max 64 GB limitations
- Memory is soldered; the configuration chosen at purchase is permanent.
Recommended setup
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
How these numbers are calculated
- Memory need = quantized weights + KV cache at 8,192 tokens (f16) + 0.8 GB runtime overhead.
- 64 GB unified memory at 546 GB/s, shared between CPU and GPU.
- macOS reserves a share of unified memory for the system, so not all of it is available to a model.
- Throughput is a memory-bandwidth roofline estimate, not a measurement. It is labelled "estimated" everywhere it appears.
- KV cache is computed from this model's published attention configuration.
FAQ
Can I run Cogito v1 on Mac Studio (M4 Max, 64 GB)?
Yes, but it is tight — Cogito v1 70B at Q4_K_M needs about 45.7 GB of the 48 GB usable on Mac Studio (M4 Max, 64 GB), leaving only ~2.3 GB before the runtime starts swapping. Expect ~6.7 tok/s (estimated), with room for about 8,192 tokens of context.
Which quantization of Cogito v1 should I use on Mac Studio (M4 Max, 64 GB)?
Q4_K_M — it needs about 45.7 GB of the 48 GB available, downloads as roughly 42.3 GB, and runs at an estimated 6.7 tokens/sec with up to 8K of context.
What limits Cogito v1 on Mac Studio (M4 Max, 64 GB)?
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Which runtime should I use?
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
Other Computers
Other Models on Mac Studio (M4 Max, 64 GB)
- Command R Family on Mac Studio (M4 Max, 64 GB)
- Cosmos 3 on Mac Studio (M4 Max, 64 GB)
- DeepSeek-OCR on Mac Studio (M4 Max, 64 GB)
- DeepSeek R1 on Mac Studio (M4 Max, 64 GB)
- Devstral on Mac Studio (M4 Max, 64 GB)
Cogito v1 on GPUs
- Cogito v1 on NVIDIA GeForce RTX 5090
- Cogito v1 on NVIDIA GeForce RTX 5080
- Cogito v1 on NVIDIA GeForce RTX 5070 Ti
- Cogito v1 on NVIDIA GeForce RTX 5070
What This Model Is Good At
Model & Tools
← Can I Run It? | Cogito v1 model page | Check your hardware