Can I Run InternLM 3 on MacBook Air (M4, 16 GB)?

Written by Jakub Rusinowski · Last updated January 15, 2025

Yes

Yes — InternLM 3 8B Instruct at Q8_0 needs about 10.6 GB of the 12 GB usable on MacBook Air (M4, 16 GB) (~1.4 GB spare), at ~6.7 tok/s (estimated), with room for about 32,768 tokens of context.

Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~6.7 tok/s

MacBook Air (M4, 16 GB) — what it gives a model

Usable memory for models12 GB
Memory bandwidth120 GB/s
Form factorLaptop
Operating systemmacOS
Memory upgradeableNo — soldered

InternLM 3 on MacBook Air (M4, 16 GB): memory by quantization

QuantMemory neededFits 12 GB?Max contextEst. speedDownload
F1618.8 GB✗ No17.6 GB
Q8_010.6 GB✓ Yes32K~6.7 tok/s9.4 GB
Q6_K8.4 GB✓ Yes32K~8.6 tok/s7.2 GB
Q5_K_M7.4 GB✓ Yes32K~9.9 tok/s6.2 GB
Q4_K_M6.5 GB✓ Yes32K~11.5 tok/s5.3 GB
Q3_K_M5 GB✓ Yes32K~15.9 tok/s3.8 GB
Q2_K4.1 GB✓ Yes32K~20 tok/s2.9 GB

Which InternLM 3 sizes fit

VariantNeeds at Q4_K_MFits?Est. speed
InternLM 3 20B Instruct14.5 GB✗ Too large
InternLM 3 8B Instruct6.5 GB✓ Fits~11.5 tok/s

What to watch out for

MacBook Air M4 16 GB limitations

Recommended setup

Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput

How these numbers are calculated

FAQ

Can I run InternLM 3 on MacBook Air (M4, 16 GB)?

Yes — InternLM 3 8B Instruct at Q8_0 needs about 10.6 GB of the 12 GB usable on MacBook Air (M4, 16 GB) (~1.4 GB spare), at ~6.7 tok/s (estimated), with room for about 32,768 tokens of context.

Which quantization of InternLM 3 should I use on MacBook Air (M4, 16 GB)?

Q8_0 — it needs about 10.6 GB of the 12 GB available, downloads as roughly 9.4 GB, and runs at an estimated 6.7 tokens/sec with up to 32K of context.

What limits InternLM 3 on MacBook Air (M4, 16 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 Air (M4, 16 GB)

InternLM 3 on GPUs

What This Model Is Good At

Model & Tools

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