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Can RTX 4070 Ti run openai-community/gpt2-xl?

Runs Q412GB VRAM availableRequires 4GB+

RTX 4070 Ti meets the minimum VRAM requirement for Q4 inference of openai-community/gpt2-xl. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

RTX 4070 Ti can run openai-community/gpt2-xl with Q4 quantization. At approximately 85 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 8GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB12GB84.61 tok/s✅ Fits comfortably
Q87GB12GB67.20 tok/s✅ Fits comfortably
FP1615GB12GB37.03 tok/s❌ Not recommended

Best current price

RTX 4070 Ti
$799.00 on Amazon
Check Price

Suitable alternatives

AMD Instinct MI300X
192GB
833.41 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
754.84 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
524.62 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
523.20 tok/s
Price: —
AMD Instinct MI250X
128GB
512.91 tok/s
Price: —

More questions

RTX 4070 Ti specs & pricingFull guide for openai-community/gpt2-xlopenai-community/gpt2-xl speed on RTX 4070 Tiopenai-community/gpt2-xl Q4 requirements