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 8GB run Qwen/Qwen2.5-7B-Instruct?

Runs Q48GB VRAM availableRequires 4GB+

RTX 4060 Ti 8GB 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

RTX 4060 Ti 8GB can run Qwen/Qwen2.5-7B-Instruct with Q4 quantization. At approximately 48 tokens/second, you can expect Moderate speed - useful for batch processing.

You have 4GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB8GB48.42 tok/s✅ Fits comfortably
Q88GB8GB36.94 tok/s⚠️ Tight fit
FP1616GB8GB20.63 tok/s❌ Not recommended

Suitable alternatives

AMD Instinct MI300X
192GB
830.07 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
735.38 tok/s
Price: —
AMD Instinct MI300X
192GB
585.07 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
485.90 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
481.50 tok/s
Price: —

More questions

RTX 4060 Ti 8GB specs & pricingFull guide for Qwen/Qwen2.5-7B-InstructQwen/Qwen2.5-7B-Instruct speed on RTX 4060 Ti 8GBQwen/Qwen2.5-7B-Instruct Q4 requirements