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Llama 3.3 70B on a Mac

Meta · 70.6B parameters · Llama 3.3 Community · released 2024-12

Weights @ Q4_K_M
40.3 GiB
the usual download size
KV cache
320 KB
per token, FP16
Max context
128K
tokens
Smallest Mac
64 GB
M4 Pro
Short answerA M4 Pro 64GB is the smallest Apple Silicon machine that loads Llama 3.3 70B at Q4_K_M with an 8K context, at roughly 5 tokens/sec. Mac mini (M4 Pro) is the cheapest way to get that configuration.

Every Mac, ranked

MacMemoryNeedsTok/sVerdict
M1 8GB8 GB45.6 GiB1No
M1 16GB16 GB45.6 GiB1No
M2 16GB16 GB45.6 GiB2No
M4 16GB16 GB45.6 GiB2No
M1 Pro 16GB16 GB45.6 GiB4No
M3 Pro 18GB18 GB45.6 GiB3No
M2 24GB24 GB45.6 GiB2No
M4 24GB24 GB45.6 GiB2No
M4 Pro 24GB24 GB45.6 GiB5No
M4 32GB32 GB45.6 GiB2No
M1 Max 32GB32 GB45.6 GiB7No
M2 Max 32GB32 GB45.6 GiB7No
M3 Max 36GB36 GB45.6 GiB6No
M4 Max 36GB36 GB45.6 GiB8No
M4 Pro 48GB48 GB45.6 GiB5No
M4 Max 48GB48 GB45.6 GiB10No
M4 Pro 64GB64 GB45.6 GiB5Yes, comfortably
M1 Max 64GB64 GB45.6 GiB7Yes, comfortably
M4 Max 64GB64 GB45.6 GiB10Yes, comfortably
M2 Ultra 64GB64 GB45.6 GiB15Yes, comfortably
M2 Max 96GB96 GB45.6 GiB7Yes, comfortably
M3 Ultra 96GB96 GB45.6 GiB15Yes, comfortably
M3 Max 128GB128 GB45.6 GiB7Yes, comfortably
M4 Max 128GB128 GB45.6 GiB10Yes, comfortably
M2 Ultra 192GB192 GB45.6 GiB15Yes, comfortably
M3 Ultra 256GB256 GB45.6 GiB15Yes, comfortably
M3 Ultra 512GB512 GB45.6 GiB15Yes, comfortably

Download size by quantisation

Weight memory scales linearly with bits per parameter. Everything below assumes an 8K context on top.

QuantisationWeightsTotal @ 8KNotes
FP16131.5 GiB141.4 GiBFull precision. Reference quality, twice the memory of Q8.
Q8_069.9 GiB76.7 GiBIndistinguishable from FP16 in practice, at half the size.
Q6_K54.2 GiB60.3 GiBNear-lossless. A good stop when you have memory to spare.
Q5_K_M46.8 GiB52.5 GiBSlightly better than Q4_K_M, noticeably bigger.
Q4_K_M40.3 GiB45.6 GiBThe default. Best quality-per-gigabyte for most people.
Q3_K_M32.1 GiB37.0 GiBVisible quality loss. Use to squeeze one size class up.
Q2_K24.7 GiB29.2 GiBLast resort. Often worse than a smaller model at Q4.