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.

  1. Home
  2. Models
  3. RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16
  4. Speed on Apple M4 Max
Apple M4 Max~26 tok/s (Q4)

RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16 speed on Apple M4 Max

Quantization-specific throughput and VRAM requirements for RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16 running on Apple M4 Max.

Speed Snapshot
Topline estimate from compatibility data
ModelRedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16
GPUApple M4 Max
Q4 speed26 tok/s
Q4 VRAM required34GB
Data Source
Calculation and benchmark status

Speed values come from the compatibility dataset (`estimatedTokensPerSec`) and are sorted by quantization.

For full verdict logic and alternate GPUs, see the canonical compatibility page.

Open full compatibility report

Quantization Speed Table

QuantizationVRAM neededVRAM availableSpeedVerdict
Q434GB128GB26 tok/s✅ Fits
Q868GB128GB17 tok/s✅ Fits
FP16137GB128GB10 tok/s❌ Not recommended
Back to RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16Q4 requirement pageFull compatibility breakdown