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 HuggingFaceM4/tiny-random-LlamaForCausalLM?

Runs Q4128GB VRAM availableRequires 4GB+

AMD Instinct MI250X meets the minimum VRAM requirement for Q4 inference of HuggingFaceM4/tiny-random-LlamaForCausalLM. 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 HuggingFaceM4/tiny-random-LlamaForCausalLM with Q4 quantization. At approximately 462 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
Q44GB128GB461.86 tok/s✅ Fits comfortably
Q87GB128GB324.79 tok/s✅ Fits comfortably
FP1615GB128GB181.28 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
730.19 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
729.17 tok/s
Price: —
AMD Instinct MI300X
192GB
548.72 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
530.14 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
461.98 tok/s
Price: —

More questions

AMD Instinct MI250X specs & pricingFull guide for HuggingFaceM4/tiny-random-LlamaForCausalLMHuggingFaceM4/tiny-random-LlamaForCausalLM speed on AMD Instinct MI250XHuggingFaceM4/tiny-random-LlamaForCausalLM Q4 requirements