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Can RTX 4090 run meta-llama/Llama-3.1-8B-Instruct?

Runs Q424GB VRAM availableRequires 4GB+

RTX 4090 meets the minimum VRAM requirement for Q4 inference of meta-llama/Llama-3.1-8B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

RTX 4090 can run meta-llama/Llama-3.1-8B-Instruct with Q4 quantization. At approximately 169 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 20GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB24GB168.86 tok/s✅ Fits comfortably
Q89GB24GB113.84 tok/s✅ Fits comfortably
FP1617GB24GB71.33 tok/s✅ Fits comfortably

Best current price

RTX 4090
$1,599.00 on Amazon
Check Price

Suitable alternatives

AMD Instinct MI300X
192GB
710.29 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
653.29 tok/s
Price: —
AMD Instinct MI300X
192GB
570.56 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
507.31 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
501.55 tok/s
Price: —

More questions

RTX 4090 specs & pricingFull guide for meta-llama/Llama-3.1-8B-Instructmeta-llama/Llama-3.1-8B-Instruct speed on RTX 4090meta-llama/Llama-3.1-8B-Instruct Q4 requirements