Llama on Apple M3

Can I run Llama 4 Scout 109B-A17B on an Mac Studio M3 Ultra 256GB?

Yes. Llama 4 Scout 109B-A17B at Q4_K_M uses 63.7 GB of the 192.0 GB available on a Mac Studio M3 Ultra 256GB, and runs at about 38.5 tokens per second. You can push the context to 692K.

Runs comfortably

63.7 GB of 192.0 GB · 33%
0192 GB
Weights 61.7 GB
KV cache 1.5 GB
Runtime overhead 0.5 GB

Llama 4 Scout 109B-A17B at Q4_K_M leaves 128.3 GB spare on a Mac Studio M3 Ultra 256GB. There is room to raise the context length or move up a quantisation level.

Generation38.5tok/s
Prompt processing704tok/s
Max context692Ktokens
KV per 1K tokens0GB

Every quantisation of Llama 4 Scout 109B-A17B on a Mac Studio M3 Ultra 256GB

Highlighted row is the highest quality that still fits at 8K context.

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 203.0 GB 205.1 GB Won't fit 6.81
INT8 / W8A8 8.50 107.4 GB 109.4 GB Runs comfortably 448K 23.0
Q8_0 (GGUF) 8.50 107.4 GB 109.4 GB Runs comfortably 448K 23.0
FP8 (E4M3) 8.00 101.5 GB 103.6 GB Runs comfortably 480K 24.2
Q6_K 6.56 83.2 GB 85.3 GB Runs comfortably 577K 29.2
Q5_K_M 5.67 71.9 GB 74.0 GB Runs comfortably 637K 33.4
Q5_K_S 5.52 70.0 GB 72.1 GB Runs comfortably 648K 34.3
Q4_K_M 4.85 61.7 GB 63.7 GB Runs comfortably 692K 38.5
Q4_K_S 4.58 58.3 GB 60.4 GB Runs comfortably 710K 40.5
Q4_0 4.55 58.0 GB 60.0 GB Runs comfortably 712K 40.7
AWQ 4-bit 4.25 56.8 GB 58.8 GB Runs comfortably 718K 41.5
GPTQ 4-bit 4.25 56.8 GB 58.8 GB Runs comfortably 718K 41.5
MXFP4 4.25 56.8 GB 58.8 GB Runs comfortably 718K 41.5
IQ4_XS 4.25 54.2 GB 56.3 GB Runs comfortably 732K 43.2
Q3_K_M 3.91 50.0 GB 52.0 GB Runs comfortably 754K 46.5
IQ3_M 3.70 47.4 GB 49.4 GB Runs comfortably 768K 48.8
IQ3_XXS 3.06 39.4 GB 41.5 GB Runs comfortably 811K 57.3
Q2_K 2.63 34.1 GB 36.1 GB Runs comfortably 839K 64.9
IQ2_XXS 2.06 27.0 GB 29.0 GB Runs comfortably 877K 78.8
IQ1_M 1.75 23.1 GB 25.1 GB Runs comfortably 898K 89.2

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