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 M4 Max run nineninesix/kani-tts-2-en?

Runs Q4128GB VRAM availableRequires 1GB+

Apple M4 Max meets the minimum VRAM requirement for Q4 inference of nineninesix/kani-tts-2-en. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

Apple M4 Max can run nineninesix/kani-tts-2-en with Q4 quantization. At approximately 86 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 127GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q41GB128GB86.43 tok/s✅ Fits comfortably
Q81GB128GB57.44 tok/s✅ Fits comfortably
FP161GB128GB30.46 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
974.88 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
765.32 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
617.75 tok/s
Price: —
AMD Instinct MI300X
192GB
593.71 tok/s
Price: —
AMD Instinct MI250X
128GB
585.96 tok/s
Price: —

More questions

Apple M4 Max specs & pricingFull guide for nineninesix/kani-tts-2-ennineninesix/kani-tts-2-en speed on Apple M4 Maxnineninesix/kani-tts-2-en Q4 requirements