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 RTX 4060 Ti 16GB run OpenPipe/Qwen3-14B-Instruct?

Runs Q416GB VRAM availableRequires 7GB+

RTX 4060 Ti 16GB meets the minimum VRAM requirement for Q4 inference of OpenPipe/Qwen3-14B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

RTX 4060 Ti 16GB can run OpenPipe/Qwen3-14B-Instruct with Q4 quantization. At approximately 39 tokens/second, you can expect Moderate speed - useful for batch processing.

You have 9GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q47GB16GB39.36 tok/s✅ Fits comfortably
Q814GB16GB27.79 tok/s✅ Fits comfortably
FP1629GB16GB14.18 tok/s❌ Not recommended

Best current price

RTX 4060 Ti 16GB
$499.00 on Amazon
Check Price

Suitable alternatives

AMD Instinct MI300X
192GB
595.10 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
520.29 tok/s
Price: —
AMD Instinct MI300X
192GB
376.88 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
372.98 tok/s
Price: —
AMD Instinct MI250X
128GB
355.91 tok/s
Price: —

More questions

RTX 4060 Ti 16GB specs & pricingFull guide for OpenPipe/Qwen3-14B-InstructOpenPipe/Qwen3-14B-Instruct speed on RTX 4060 Ti 16GBOpenPipe/Qwen3-14B-Instruct Q4 requirements