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 4070 run Qwen/Qwen2.5-7B-Instruct?

Runs Q412GB VRAM availableRequires 4GB+

RTX 4070 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 4070 can run Qwen/Qwen2.5-7B-Instruct with Q4 quantization. At approximately 88 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 8GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB12GB88.01 tok/s✅ Fits comfortably
Q87GB12GB60.22 tok/s✅ Fits comfortably
FP1615GB12GB32.86 tok/s❌ Not recommended

Best current price

RTX 4070
$599.00 on Amazon
Check Price

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

RTX 4070 specs & pricingFull guide for Qwen/Qwen2.5-7B-InstructQwen/Qwen2.5-7B-Instruct speed on RTX 4070Qwen/Qwen2.5-7B-Instruct Q4 requirements