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 NVIDIA H100 PCIe 80GB run allenai/Olmo-3-7B-Think?

Runs Q480GB VRAM availableRequires 4GB+

NVIDIA H100 PCIe 80GB meets the minimum VRAM requirement for Q4 inference of allenai/Olmo-3-7B-Think. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA H100 PCIe 80GB can run allenai/Olmo-3-7B-Think with Q4 quantization. At approximately 332 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 76GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB80GB332.07 tok/s✅ Fits comfortably
Q88GB80GB235.15 tok/s✅ Fits comfortably
FP1616GB80GB123.63 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
735.46 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
648.89 tok/s
Price: —
AMD Instinct MI300X
192GB
564.72 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
538.80 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
480.90 tok/s
Price: —

More questions

NVIDIA H100 PCIe 80GB specs & pricingFull guide for allenai/Olmo-3-7B-Thinkallenai/Olmo-3-7B-Think speed on NVIDIA H100 PCIe 80GBallenai/Olmo-3-7B-Think Q4 requirements