Can I Run LFM2.5 on MacBook Pro 16" (M4 Max, 48 GB)?
Written by Jakub Rusinowski · Last updated October 15, 2026
Yes — comfortably
Yes, comfortably — LFM2.5-24B-A2B at Q8_0 needs about 26.5 GB of the 36 GB usable on MacBook Pro 16" (M4 Max, 48 GB), leaving ~9.5 GB spare and running at ~83.5 tok/s (estimated), with room for about 131,072 tokens of context.
Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~83.5 tok/s
See what else this hardware can run →
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MacBook Pro 16" (M4 Max, 48 GB) — what it gives a model
| Usable memory for models | 36 GB |
| Memory bandwidth | 546 GB/s |
| Form factor | Laptop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
| Price | $3,999 (lib/data/laptops.ts (street price), checked 2026-07-06) |
LFM2.5 on MacBook Pro 16" (M4 Max, 48 GB): memory by quantization
| Quant | Memory needed | Fits 36 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 48.9 GB | ✗ No | — | — | 48 GB |
| Q8_0 | 26.5 GB | ✓ Yes | 128K | ~83.5 tok/s | 25.5 GB |
| Q6_K | 20.7 GB | ✓ Yes | 128K | ~100.1 tok/s | 19.7 GB |
| Q5_K_M | 18 GB | ✓ Yes | 128K | ~110.1 tok/s | 17 GB |
| Q4_K_M | 15.5 GB | ✓ Yes | 128K | ~121.6 tok/s | 14.5 GB |
| Q3_K_M | 11.2 GB | ✓ Yes | 128K | ~147.7 tok/s | 10.2 GB |
| Q2_K | 8.8 GB | ✓ Yes | 128K | ~167.5 tok/s | 7.9 GB |
Which LFM2.5 sizes fit
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| LFM2.5-24B-A2B | 15.5 GB | ✓ Fits | ~121.6 tok/s |
| LFM2.5-8B-A1B | 7 GB | ✓ Fits | ~125.2 tok/s |
| LFM2.5 2.6B | 3.2 GB | ✓ Fits | ~102.3 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.
MacBook Pro M4 Max 48 GB limitations
- Unified memory is soldered and cannot be upgraded after purchase.
- macOS reserves a share of unified memory for the system, so not all 48 GB is available to a model.
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.
- 48 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 LFM2.5 on MacBook Pro 16" (M4 Max, 48 GB)?
Yes, comfortably — LFM2.5-24B-A2B at Q8_0 needs about 26.5 GB of the 36 GB usable on MacBook Pro 16" (M4 Max, 48 GB), leaving ~9.5 GB spare and running at ~83.5 tok/s (estimated), with room for about 131,072 tokens of context.
Which quantization of LFM2.5 should I use on MacBook Pro 16" (M4 Max, 48 GB)?
Q8_0 — it needs about 26.5 GB of the 36 GB available, downloads as roughly 25.5 GB, and runs at an estimated 83.5 tokens/sec with up to 128K of context.
What limits LFM2.5 on MacBook Pro 16" (M4 Max, 48 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 MacBook Pro 16" (M4 Max, 48 GB)
- Llama 3.1 Family on MacBook Pro 16" (M4 Max, 48 GB)
- Llama 3.2 Family on MacBook Pro 16" (M4 Max, 48 GB)
- Llama 3.2 Vision on MacBook Pro 16" (M4 Max, 48 GB)
- Llama 3.3 on MacBook Pro 16" (M4 Max, 48 GB)
- Magistral Small on MacBook Pro 16" (M4 Max, 48 GB)
LFM2.5 on GPUs
- LFM2.5 on NVIDIA GeForce RTX 5070
- LFM2.5 on NVIDIA GeForce RTX 5060 Ti 8GB
- LFM2.5 on NVIDIA GeForce RTX 5060
- LFM2.5 on NVIDIA GeForce RTX 4070 Ti