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 MI210 run GSAI-ML/LLaDA-8B-Base?

Runs Q464GB VRAM availableRequires 4GB+

AMD Instinct MI210 meets the minimum VRAM requirement for Q4 inference of GSAI-ML/LLaDA-8B-Base. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

AMD Instinct MI210 can run GSAI-ML/LLaDA-8B-Base with Q4 quantization. At approximately 259 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 60GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB64GB258.69 tok/s✅ Fits comfortably
Q89GB64GB172.94 tok/s✅ Fits comfortably
FP1617GB64GB91.47 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
691.62 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
620.73 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
517.79 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
513.69 tok/s
Price: —
AMD Instinct MI250X
128GB
507.91 tok/s
Price: —

More questions

AMD Instinct MI210 specs & pricingFull guide for GSAI-ML/LLaDA-8B-BaseGSAI-ML/LLaDA-8B-Base speed on AMD Instinct MI210GSAI-ML/LLaDA-8B-Base Q4 requirements