Llama 3.2 1B hardware requirements

1.24B parameters. Needs about 1.6 GB at Q4_K_M with 8K context. Model card.

Memory needed at each quantization

QuantQuality8K context32K context
FP16Full quality3.3 GB4.2 GB
Q8_0Near-lossless2.2 GB3 GB
Q6_KExcellent1.9 GB2.7 GB
Q5_K_MVery good1.8 GB2.6 GB
Q4_K_MGood, most popular1.6 GB2.4 GB
Q3_K_MNoticeably degraded1.5 GB2.3 GB
Q2_KHeavily degraded1.3 GB2.1 GB

Run it with Ollama: ollama run llama3.2:1b (downloads Q4_K_M by default).

Run it in the cloud

Don't want to buy hardware? Run Llama 3.2 1B on a rented GPU today.

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Every GPU and Mac checked

GPURuns?Best fit
NVIDIA RTX 3060 12GBYesFP16 · ~3.3 GB · ~87 tok/s
NVIDIA RTX 3070YesFP16 · ~3.3 GB · ~108 tok/s
NVIDIA RTX 3080 10GBYesFP16 · ~3.3 GB · ~184 tok/s
NVIDIA RTX 3090YesFP16 · ~3.3 GB · ~226 tok/s
NVIDIA RTX 4060YesFP16 · ~3.3 GB · ~66 tok/s
NVIDIA RTX 4060 Ti 16GBYesFP16 · ~3.3 GB · ~70 tok/s
NVIDIA RTX 5060 Ti 16GBYesFP16 · ~3.3 GB · ~108 tok/s
NVIDIA RTX 4070YesFP16 · ~3.3 GB · ~122 tok/s
NVIDIA RTX 4070 Ti SuperYesFP16 · ~3.3 GB · ~163 tok/s
NVIDIA RTX 4080YesFP16 · ~3.3 GB · ~173 tok/s
NVIDIA RTX 4090YesFP16 · ~3.3 GB · ~244 tok/s
NVIDIA RTX 5070YesFP16 · ~3.3 GB · ~163 tok/s
NVIDIA RTX 5070 TiYesFP16 · ~3.3 GB · ~217 tok/s
NVIDIA RTX 5080YesFP16 · ~3.3 GB · ~232 tok/s
NVIDIA RTX 5090YesFP16 · ~3.3 GB · ~434 tok/s
AMD Radeon RX 7800 XTYesFP16 · ~3.3 GB · ~151 tok/s
AMD Radeon RX 7900 XTXYesFP16 · ~3.3 GB · ~232 tok/s
Apple M4 (16GB)YesFP16 · ~3.3 GB · ~29 tok/s
Apple M1 (16GB)YesFP16 · ~3.3 GB · ~16 tok/s
Apple M2 Pro (32GB)YesFP16 · ~3.3 GB · ~48 tok/s
Apple M3 Max (64GB)YesFP16 · ~3.3 GB · ~97 tok/s
Apple M4 Pro (48GB)YesFP16 · ~3.3 GB · ~66 tok/s
Apple M4 Max (128GB)YesFP16 · ~3.3 GB · ~132 tok/s
Apple M2 Ultra (192GB)YesFP16 · ~3.3 GB · ~194 tok/s