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 MI300X run deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B?

Runs Q4192GB VRAM availableRequires 3GB+

AMD Instinct MI300X meets the minimum VRAM requirement for Q4 inference of deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B. 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 deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B with Q4 quantization. At approximately 807 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 189GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q43GB192GB807.46 tok/s✅ Fits comfortably
Q85GB192GB555.91 tok/s✅ Fits comfortably
FP1611GB192GB272.03 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
745.94 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
460.48 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
460.44 tok/s
Price: —
AMD Instinct MI250X
128GB
442.17 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
338.87 tok/s
Price: —

More questions

AMD Instinct MI300X specs & pricingFull guide for deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5Bdeepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B speed on AMD Instinct MI300Xdeepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B Q4 requirements