Can I Run Llama 3.1 Family on MacBook Pro 14" (M4 Pro, 24 GB)?
作者： Jakub Rusinowski · 最后更新： 2024年7月23日
Yes — comfortably
Yes, comfortably — Llama 3.1 8B Instruct at Q8_0 needs about 10.4 GB of the 18 GB usable on MacBook Pro 14" (M4 Pro, 24 GB), leaving ~7.6 GB spare and running at ~15.8 tok/s (estimated), with room for about 65,536 tokens of context.
Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~15.8 tok/s
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MacBook Pro 14" (M4 Pro, 24 GB) — what it gives a model
| Usable memory for models | 18 GB |
| Memory bandwidth | 273 GB/s |
| Form factor | Laptop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
| Price | $1,999 (lib/data/laptops.ts (street price), checked 2026-07-06) |
Llama 3.1 Family on MacBook Pro 14" (M4 Pro, 24 GB): memory by quantization
| Quant | Memory needed | Fits 18 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 17.9 GB | ✓ Yes | 8K | ~8.8 tok/s | 16 GB |
| Q8_0 | 10.4 GB | ✓ Yes | 64K | ~15.8 tok/s | 8.5 GB |
| Q6_K | 8.4 GB | ✓ Yes | 64K | ~19.8 tok/s | 6.6 GB |
| Q5_K_M | 7.5 GB | ✓ Yes | 64K | ~22.5 tok/s | 5.7 GB |
| Q4_K_M | 6.7 GB | ✓ Yes | 64K | ~25.7 tok/s | 4.8 GB |
| Q3_K_M | 5.3 GB | ✓ Yes | 64K | ~34 tok/s | 3.4 GB |
| Q2_K | 4.5 GB | ✓ Yes | 64K | ~41.4 tok/s | 2.6 GB |
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.
MacBook Pro M4 Pro 24 GB limitations
- Unified memory is soldered and cannot be upgraded after purchase.
- 24 GB is the practical ceiling for a single mid-size model plus a long context.
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.
- 24 GB unified memory at 273 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 Llama 3.1 Family on MacBook Pro 14" (M4 Pro, 24 GB)?
Yes, comfortably — Llama 3.1 8B Instruct at Q8_0 needs about 10.4 GB of the 18 GB usable on MacBook Pro 14" (M4 Pro, 24 GB), leaving ~7.6 GB spare and running at ~15.8 tok/s (estimated), with room for about 65,536 tokens of context.
Which quantization of Llama 3.1 Family should I use on MacBook Pro 14" (M4 Pro, 24 GB)?
Q8_0 — it needs about 10.4 GB of the 18 GB available, downloads as roughly 8.5 GB, and runs at an estimated 15.8 tokens/sec with up to 64K of context.
What limits Llama 3.1 Family on MacBook Pro 14" (M4 Pro, 24 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
- Llama 3.1 Family on MacBook Pro M4 Max 128 GB
- Llama 3.1 Family on MacBook Pro M4 Max 48 GB
- Llama 3.1 Family on MacBook Air M4 16 GB
Other Models on MacBook Pro 14" (M4 Pro, 24 GB)
- Llama 3.2 Family on MacBook Pro 14" (M4 Pro, 24 GB)
- Llama 3.2 Vision on MacBook Pro 14" (M4 Pro, 24 GB)
- Magistral Small on MacBook Pro 14" (M4 Pro, 24 GB)
- MiniCPM-V on MacBook Pro 14" (M4 Pro, 24 GB)
- Ministral on MacBook Pro 14" (M4 Pro, 24 GB)
Llama 3.1 Family on GPUs
- Llama 3.1 Family on NVIDIA GeForce RTX 5070
- Llama 3.1 Family on NVIDIA GeForce RTX 5060 Ti 8GB
- Llama 3.1 Family on NVIDIA GeForce RTX 5060
- Llama 3.1 Family on NVIDIA GeForce RTX 4070 Ti
What This Model Is Good At
Model & Tools
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