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 trl-internal-testing/tiny-Qwen2ForCausalLM-2.5?

Runs Q4192GB VRAM availableRequires 4GB+

AMD Instinct MI300X meets the minimum VRAM requirement for Q4 inference of trl-internal-testing/tiny-Qwen2ForCausalLM-2.5. 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 trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 with Q4 quantization. At approximately 810 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
Q44GB192GB810.39 tok/s✅ Fits comfortably
Q87GB192GB545.98 tok/s✅ Fits comfortably
FP1615GB192GB271.25 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
752.27 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
538.91 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
493.66 tok/s
Price: —
AMD Instinct MI250X
128GB
461.27 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
319.47 tok/s
Price: —

More questions

AMD Instinct MI300X specs & pricingFull guide for trl-internal-testing/tiny-Qwen2ForCausalLM-2.5trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 speed on AMD Instinct MI300Xtrl-internal-testing/tiny-Qwen2ForCausalLM-2.5 Q4 requirements