Llama on AMD Strix Halo

Can I run Llama 3.1 70B on an Ryzen AI Max+ 395 128GB?

Yes. Llama 3.1 70B at Q4_K_M uses 43.1 GB of the 96.0 GB available on a Ryzen AI Max+ 395 128GB, and runs at about 3.26 tokens per second. You can push the context to 128K.

Runs comfortably

43.1 GB of 96.0 GB · 45%
096 GB
Weights 40.0 GB
KV cache 2.5 GB
Runtime overhead 0.6 GB

Llama 3.1 70B at Q4_K_M leaves 52.9 GB spare on a Ryzen AI Max+ 395 128GB. There is room to raise the context length or move up a quantisation level.

Generation3.26tok/s
Prompt processing149tok/s
Max context128Ktokens
KV per 1K tokens0GB

Every quantisation of Llama 3.1 70B on a Ryzen AI Max+ 395 128GB

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

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 131.4 GB 134.5 GB Won't fit 0.53
INT8 / W8A8 8.50 69.3 GB 72.4 GB Runs comfortably 83K 1.90
Q8_0 (GGUF) 8.50 69.3 GB 72.4 GB Runs comfortably 83K 1.90
FP8 (E4M3) 8.00 65.7 GB 68.8 GB Runs comfortably 95K 2.01
Q6_K 6.56 53.9 GB 57.0 GB Runs comfortably 128K 2.44
Q5_K_M 5.67 46.6 GB 49.7 GB Runs comfortably 128K 2.81
Q5_K_S 5.52 45.3 GB 48.4 GB Runs comfortably 128K 2.88
Q4_K_M 4.85 40.0 GB 43.1 GB Runs comfortably 128K 3.26
Q4_K_S 4.58 37.8 GB 40.9 GB Runs comfortably 128K 3.43
AWQ 4-bit 4.25 37.8 GB 40.9 GB Runs comfortably 128K 3.44
GPTQ 4-bit 4.25 37.8 GB 40.9 GB Runs comfortably 128K 3.44
MXFP4 4.25 37.8 GB 40.9 GB Runs comfortably 128K 3.44
Q4_0 4.55 37.6 GB 40.7 GB Runs comfortably 128K 3.46
IQ4_XS 4.25 35.2 GB 38.3 GB Runs comfortably 128K 3.68
Q3_K_M 3.91 32.5 GB 35.6 GB Runs comfortably 128K 3.98
IQ3_M 3.70 30.8 GB 33.9 GB Runs comfortably 128K 4.18
IQ3_XXS 3.06 25.7 GB 28.8 GB Runs comfortably 128K 4.97
Q2_K 2.63 22.3 GB 25.4 GB Runs comfortably 128K 5.69
IQ2_XXS 2.06 17.8 GB 20.9 GB Runs comfortably 128K 7.05
IQ1_M 1.75 15.3 GB 18.4 GB Runs comfortably 128K 8.10

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