Can the Apple M3 Max (64GB) run Llama 3.1 8B?

Apple M3 Max (64GB) × Llama 3.1 8B8K context
YesRuns fully on the GPU
Memory at FP1617.7 GB of 48 GB
Weights 16.1 GBKV cache 1.1 GBRuntime 0.6 GB
QuantFP16Full quality
Memory17.7 GBof 48 GB usable
Speed~15tokens per second
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The Apple M3 Max (64GB) can run Llama 3.1 8B fully in unified memory at FP16 (full quality), using about 17.7 GB of the 48 GB available, at roughly 15 tokens/second.

Run it with Ollama

With Ollama installed, one command downloads and starts Llama 3.1 8B:

ollama run llama3.1:8b

Ollama's default download is Q4_K_M (about 6.5 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.

Run it in the cloud

No Apple M3 Max (64GB)? Run Llama 3.1 8B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 48 GB the Apple M3 Max (64GB) can use. macOS lets the GPU use about 48 GB of the 64 GB unified memory by default.

QuantQualityMemoryFits?Speed
FP16Full quality17.7 GBFits~15 tok/s
Q8_0Near-lossless10.2 GBFits~28 tok/s
Q6_KExcellent8.3 GBFits~36 tok/s
Q5_K_MVery good7.4 GBFits~42 tok/s
Q4_K_MGood, most popular6.5 GBFits~49 tok/s
Q3_K_MNoticeably degraded5.6 GBFits~61 tok/s
Q2_KHeavily degraded4.7 GBFits~80 tok/s

Frequently asked questions

Can Apple M3 Max (64GB) run Llama 3.1 8B?

Yes. The Apple M3 Max (64GB) can run Llama 3.1 8B fully in unified memory at FP16 (full quality), using about 17.7 GB of the 48 GB available, at roughly 15 tokens/second.

How much VRAM does Llama 3.1 8B need?

About 6.5 GB at Q4_K_M with 8,192 tokens of context, and about 17.7 GB at full FP16 precision.

How fast is Llama 3.1 8B on the Apple M3 Max (64GB)?

Roughly 15 tokens per second at FP16, estimated from the Apple M3 Max (64GB)'s 400 GB/s memory bandwidth.