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 NVIDIA L4 run meta-llama/Llama-3.2-1B?

Runs Q424GB VRAM availableRequires 1GB+

NVIDIA L4 meets the minimum VRAM requirement for Q4 inference of meta-llama/Llama-3.2-1B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA L4 can run meta-llama/Llama-3.2-1B with Q4 quantization. At approximately 75 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 23GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q41GB24GB74.81 tok/s✅ Fits comfortably
Q81GB24GB50.91 tok/s✅ Fits comfortably
FP162GB24GB25.67 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
980.52 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
892.50 tok/s
Price: —
AMD Instinct MI300X
192GB
657.19 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
613.99 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
579.87 tok/s
Price: —

More questions

NVIDIA L4 specs & pricingFull guide for meta-llama/Llama-3.2-1Bmeta-llama/Llama-3.2-1B speed on NVIDIA L4meta-llama/Llama-3.2-1B Q4 requirements