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 M3 Max run BSC-LT/salamandraTA-7b-instruct?

Runs Q4128GB VRAM availableRequires 4GB+

Apple M3 Max meets the minimum VRAM requirement for Q4 inference of BSC-LT/salamandraTA-7b-instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

Apple M3 Max can run BSC-LT/salamandraTA-7b-instruct with Q4 quantization. At approximately 57 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 124GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB128GB57.28 tok/s✅ Fits comfortably
Q87GB128GB37.07 tok/s✅ Fits comfortably
FP1615GB128GB21.11 tok/s✅ Fits comfortably

Best current price

Apple M3 Max
$3,999.00 on Amazon
Check Price

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
746.94 tok/s
Price: —
AMD Instinct MI300X
192GB
693.77 tok/s
Price: —
AMD Instinct MI300X
192GB
539.85 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
498.47 tok/s
Price: —
AMD Instinct MI250X
128GB
487.86 tok/s
Price: —

More questions

Apple M3 Max specs & pricingFull guide for BSC-LT/salamandraTA-7b-instructBSC-LT/salamandraTA-7b-instruct speed on Apple M3 MaxBSC-LT/salamandraTA-7b-instruct Q4 requirements