Can you run Llama 3.1 8B locally?

Llama 3 family · July 2024 · 8.03B parameters · Hugging Face model card

How much VRAM does Llama 3.1 8B need at each quantization?

Llama 3.1 8B needs 5.8 GB of VRAM at Q4_K_M. The table below lists weights-only size and total VRAM including overhead for each common quantization level with 4k and 32k token contexts.

Method: weights = parameters × bits-per-weight (Q4_K_M ≈ 4.8, Q5_K_M ≈ 5.7, Q6_K ≈ 6.6, Q8_0 ≈ 8.5, FP16 = 16), plus 10% loading overhead, plus KV cache from the verified architecture config (32 layers, 8 KV heads, 128 head dim). Source: Params 8.03B, 32 layers, 8 KV heads, 128 head dim, 131072 context — HF config.json (NousResearch/Meta-Llama-3.1-8B-Instruct).

Which GPUs can run Llama 3.1 8B locally?

At Q4_K_M with a 4k context, Llama 3.1 8B needs 5.8 GB of VRAM. The lists below are computed live from our GPU database and grouped by how much headroom the card has. Disclosure: CompareAIHardware.com participates in the Amazon Associates program and earns from qualifying purchases through links on this page. Affiliate relationships do not influence our recommendations.

Runs Llama 3.1 8B comfortably (25%+ VRAM headroom)

Can a Mac run Llama 3.1 8B?

Yes — these Apple Silicon machines fit Llama 3.1 8B at Q4_K_M, since macOS lets the GPU use about 75% of unified memory. Generation speed is bound by memory bandwidth, so the GB/s column matters as much as capacity.

Can Llama 3.1 8B run on mini PCs, Jetson, or NPU devices?

These edge and NPU devices from our database have enough memory for Llama 3.1 8B at Q4_K_M. Their memory bandwidth is far below discrete GPUs, so expect a fraction of desktop generation speed.

Which pre-built systems can run Llama 3.1 8B?

These mini PCs and workstations from our database fit Llama 3.1 8B at Q4_K_M. Usable-memory figures are conservative: Windows shares about half of system RAM with the GPU by default (Linux can expose more), macOS lets Apple Silicon GPUs use about 75% of unified memory, and Linux unified-memory systems such as GB10 expose roughly 90%. Generation speed is bound by memory bandwidth, so compare the GB/s column before buying.

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