The real cost to run Meta Llama 3.1 8B Instruct quantized.w4a16

RedHatAI · 8B parameters · 131.1K context · commercial OK

Meta Llama 3.1 8B Instruct quantized.w4a16 — 8B params (RedHatAI). Auto-indexed from the Hugging Face Hub (74,852 downloads). Parameter count is exact; download size and quantizations are estimates.

What it costs to run Meta Llama 3.1 8B Instruct quantized.w4a16 — $0 markup

On your own machine — $0. Runs free locally if you have about 8 GB of VRAM at Q4_K_M (point Spanvero at LM Studio, Ollama, or llama.cpp).
On your own rented GPU — from $0.26/hr. NVIDIA RTX 3090 24GB at the direct Vast.ai price (≈ $0.10 a session), $0 markup.
Via your own API key — $0.16/1M tokens (blended input + output). No GPU to manage (rough estimate for this size).

Key facts

Parameters	8B
Context window	131.1K tokens
Recommended quant	Q4_K_M
VRAM to run	~8 GB (at Q4_K_M, 16.4K context)
Download size	~5 GB
License	Commercial use OK

Open the free Spanvero advisor → for the live, interactive math for your exact workload and hardware.

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