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Can NVIDIA RTX 6000 Ada run meta-llama/Llama-2-7b-chat-hf?

Runs Q448GB VRAM availableRequires 4GB+

NVIDIA RTX 6000 Ada meets the minimum VRAM requirement for Q4 inference of meta-llama/Llama-2-7b-chat-hf. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA RTX 6000 Ada can run meta-llama/Llama-2-7b-chat-hf with Q4 quantization. At approximately 186 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 44GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB48GB185.91 tok/s✅ Fits comfortably
Q87GB48GB117.96 tok/s✅ Fits comfortably
FP1615GB48GB69.41 tok/s✅ Fits comfortably

Best current price

NVIDIA RTX 6000 Ada
$7,199.00 on Amazon
Check Price

Suitable alternatives

AMD Instinct MI300X
192GB
787.51 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
719.49 tok/s
Price: —
AMD Instinct MI300X
192GB
583.69 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
485.52 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
479.76 tok/s
Price: —

More questions

NVIDIA RTX 6000 Ada specs & pricingFull guide for meta-llama/Llama-2-7b-chat-hfmeta-llama/Llama-2-7b-chat-hf speed on NVIDIA RTX 6000 Adameta-llama/Llama-2-7b-chat-hf Q4 requirements