L
localai.computer
ModelsGPUsSystemsAI SetupsBuildsOpenClawMethodology

Resources

  • Methodology
  • Submit Benchmark
  • About

Browse

  • AI Models
  • GPUs
  • PC Builds

Guides

  • OpenClaw Guide
  • How-To Guides

Legal

  • Privacy
  • Terms
  • Contact

© 2025 localai.computer. Hardware recommendations for running AI models locally.

ℹ️We earn from qualifying purchases through affiliate links at no extra cost to you. This supports our free content and research.

Can AMD Instinct MI250X run openai-community/gpt2-medium?

Runs Q4128GB VRAM availableRequires 4GB+

AMD Instinct MI250X 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 MI250X can run openai-community/gpt2-medium with Q4 quantization. At approximately 474 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 124GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB128GB474.23 tok/s✅ Fits comfortably
Q87GB128GB365.33 tok/s✅ Fits comfortably
FP1615GB128GB182.02 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
782.43 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
733.87 tok/s
Price: —
AMD Instinct MI300X
192GB
506.35 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
493.25 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
453.28 tok/s
Price: —

More questions

AMD Instinct MI250X specs & pricingFull guide for openai-community/gpt2-mediumopenai-community/gpt2-medium speed on AMD Instinct MI250Xopenai-community/gpt2-medium Q4 requirements