Llama 3.1 8B hardware requirements

8.03B parameters. Needs about 6.5 GB at Q4_K_M with 8K context. Model card.

Memory needed at each quantization

QuantQuality8K context32K context
FP16Full quality17.7 GB21 GB
Q8_0Near-lossless10.2 GB13.4 GB
Q6_KExcellent8.3 GB11.5 GB
Q5_K_MVery good7.4 GB10.6 GB
Q4_K_MGood, most popular6.5 GB9.8 GB
Q3_K_MNoticeably degraded5.6 GB8.8 GB
Q2_KHeavily degraded4.7 GB7.9 GB

Run it with Ollama: ollama run llama3.1:8b (downloads Q4_K_M by default).

Run it in the cloud

Don't want to buy hardware? Run Llama 3.1 8B on a rented GPU today.

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

Every GPU and Mac checked

GPURuns?Best fit
NVIDIA RTX 3060 12GBYesQ8_0 · ~10.2 GB · ~25 tok/s
NVIDIA RTX 3070YesQ5_K_M · ~7.4 GB · ~47 tok/s
NVIDIA RTX 3080 10GBYesQ6_K · ~8.3 GB · ~69 tok/s
NVIDIA RTX 3090YesFP16 · ~17.7 GB · ~35 tok/s
NVIDIA RTX 4060YesQ5_K_M · ~7.4 GB · ~29 tok/s
NVIDIA RTX 4060 Ti 16GBYesQ8_0 · ~10.2 GB · ~20 tok/s
NVIDIA RTX 5060 Ti 16GBYesQ8_0 · ~10.2 GB · ~32 tok/s
NVIDIA RTX 4070YesQ8_0 · ~10.2 GB · ~35 tok/s
NVIDIA RTX 4070 Ti SuperYesQ8_0 · ~10.2 GB · ~47 tok/s
NVIDIA RTX 4080YesQ8_0 · ~10.2 GB · ~50 tok/s
NVIDIA RTX 4090YesFP16 · ~17.7 GB · ~38 tok/s
NVIDIA RTX 5070YesQ8_0 · ~10.2 GB · ~47 tok/s
NVIDIA RTX 5070 TiYesQ8_0 · ~10.2 GB · ~63 tok/s
NVIDIA RTX 5080YesQ8_0 · ~10.2 GB · ~68 tok/s
NVIDIA RTX 5090YesFP16 · ~17.7 GB · ~67 tok/s
AMD Radeon RX 7800 XTYesQ8_0 · ~10.2 GB · ~44 tok/s
AMD Radeon RX 7900 XTXYesFP16 · ~17.7 GB · ~36 tok/s
Apple M4 (16GB)YesQ8_0 · ~10.2 GB · ~8 tok/s
Apple M1 (16GB)YesQ8_0 · ~10.2 GB · ~5 tok/s
Apple M2 Pro (32GB)YesFP16 · ~17.7 GB · ~7 tok/s
Apple M3 Max (64GB)YesFP16 · ~17.7 GB · ~15 tok/s
Apple M4 Pro (48GB)YesFP16 · ~17.7 GB · ~10 tok/s
Apple M4 Max (128GB)YesFP16 · ~17.7 GB · ~20 tok/s
Apple M2 Ultra (192GB)YesFP16 · ~17.7 GB · ~30 tok/s