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 Apple M2 Max run meta-llama/Llama-Guard-3-8B?

Runs Q496GB VRAM availableRequires 4GB+

Apple M2 Max meets the minimum VRAM requirement for Q4 inference of meta-llama/Llama-Guard-3-8B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

Apple M2 Max can run meta-llama/Llama-Guard-3-8B with Q4 quantization. At approximately 58 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 92GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB96GB57.54 tok/s✅ Fits comfortably
Q89GB96GB38.79 tok/s✅ Fits comfortably
FP1617GB96GB20.25 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
702.10 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
667.41 tok/s
Price: —
AMD Instinct MI300X
192GB
557.54 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
515.13 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
486.27 tok/s
Price: —

More questions

Apple M2 Max specs & pricingFull guide for meta-llama/Llama-Guard-3-8Bmeta-llama/Llama-Guard-3-8B speed on Apple M2 Maxmeta-llama/Llama-Guard-3-8B Q4 requirements