Can the Apple M2 Pro (32GB) run Llama 3.2 1B?

Apple M2 Pro (32GB) × Llama 3.2 1B8K context
YesRuns fully on the GPU
Memory at FP163.3 GB of 21.4 GB
Weights 2.5 GBKV cache 0.3 GBRuntime 0.6 GB
QuantFP16Full quality
Memory3.3 GBof 21.4 GB usable
Speed~48tokens 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 M2 Pro (32GB) can run Llama 3.2 1B fully in unified memory at FP16 (full quality), using about 3.3 GB of the 21.4 GB available, at roughly 48 tokens/second.

Run it with Ollama

With Ollama installed, one command downloads and starts Llama 3.2 1B:

ollama run llama3.2:1b

Ollama's default download is Q4_K_M (about 1.6 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 M2 Pro (32GB)? Run Llama 3.2 1B 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 21.4 GB the Apple M2 Pro (32GB) can use. macOS lets the GPU use about 21.4 GB of the 32 GB unified memory by default.

QuantQualityMemoryFits?Speed
FP16Full quality3.3 GBFits~48 tok/s
Q8_0Near-lossless2.2 GBFits~91 tok/s
Q6_KExcellent1.9 GBFits~118 tok/s
Q5_K_MVery good1.8 GBFits~136 tok/s
Q4_K_MGood, most popular1.6 GBFits~160 tok/s
Q3_K_MNoticeably degraded1.5 GBFits~198 tok/s
Q2_KHeavily degraded1.3 GBFits~258 tok/s

Frequently asked questions

Can Apple M2 Pro (32GB) run Llama 3.2 1B?

Yes. The Apple M2 Pro (32GB) can run Llama 3.2 1B fully in unified memory at FP16 (full quality), using about 3.3 GB of the 21.4 GB available, at roughly 48 tokens/second.

How much VRAM does Llama 3.2 1B need?

About 1.6 GB at Q4_K_M with 8,192 tokens of context, and about 3.3 GB at full FP16 precision.

How fast is Llama 3.2 1B on the Apple M2 Pro (32GB)?

Roughly 48 tokens per second at FP16, estimated from the Apple M2 Pro (32GB)'s 200 GB/s memory bandwidth.