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Can AMD Instinct MI300X run openai-community/gpt2-medium?

Runs Q4192GB VRAM availableRequires 4GB+

AMD Instinct MI300X meets the minimum VRAM requirement for Q4 inference of openai-community/gpt2-medium. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

AMD Instinct MI300X can run openai-community/gpt2-medium with Q4 quantization. At approximately 782 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 188GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB192GB782.43 tok/s✅ Fits comfortably
Q87GB192GB506.35 tok/s✅ Fits comfortably
FP1615GB192GB272.68 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
733.87 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
493.25 tok/s
Price: —
AMD Instinct MI250X
128GB
474.23 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
453.28 tok/s
Price: —
AMD Instinct MI250X
128GB
365.33 tok/s
Price: —

More questions

AMD Instinct MI300X specs & pricingFull guide for openai-community/gpt2-mediumopenai-community/gpt2-medium speed on AMD Instinct MI300Xopenai-community/gpt2-medium Q4 requirements