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 Intel Arc Pro A40 run Qwen/Qwen2.5-7B-Instruct?

Runs Q46GB VRAM availableRequires 4GB+

Intel Arc Pro A40 meets the minimum VRAM requirement for Q4 inference of Qwen/Qwen2.5-7B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

Intel Arc Pro A40 can run Qwen/Qwen2.5-7B-Instruct with Q4 quantization. At approximately 47 tokens/second, you can expect Moderate speed - useful for batch processing.

VRAM usage will be very close to your GPU's limit. Consider closing other applications or using Q3 quantization for more margin.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB6GB46.97 tok/s✅ Fits comfortably
Q87GB6GB29.31 tok/s❌ Not recommended
FP1615GB6GB17.74 tok/s❌ Not recommended

Suitable alternatives

AMD Instinct MI300X
192GB
715.55 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
628.37 tok/s
Price: —
AMD Instinct MI300X
192GB
551.61 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
517.25 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
477.49 tok/s
Price: —

More questions

Intel Arc Pro A40 specs & pricingFull guide for Qwen/Qwen2.5-7B-InstructQwen/Qwen2.5-7B-Instruct speed on Intel Arc Pro A40Qwen/Qwen2.5-7B-Instruct Q4 requirements