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 Radeon Pro W7900 run Qwen/Qwen2.5-14B-Instruct?

Runs Q448GB VRAM availableRequires 8GB+

AMD Radeon Pro W7900 meets the minimum VRAM requirement for Q4 inference of Qwen/Qwen2.5-14B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

AMD Radeon Pro W7900 can run Qwen/Qwen2.5-14B-Instruct with Q4 quantization. At approximately 103 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 40GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q48GB48GB103.01 tok/s✅ Fits comfortably
Q815GB48GB78.77 tok/s✅ Fits comfortably
FP1630GB48GB44.40 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
557.31 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
519.62 tok/s
Price: —
AMD Instinct MI300X
192GB
426.84 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
347.86 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
338.72 tok/s
Price: —

More questions

AMD Radeon Pro W7900 specs & pricingFull guide for Qwen/Qwen2.5-14B-InstructQwen/Qwen2.5-14B-Instruct speed on AMD Radeon Pro W7900Qwen/Qwen2.5-14B-Instruct Q4 requirements