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// RUN — FITS
Can the Apple M3 Max 128GB run Tensor-Transformer(1core)+PN (WT103)?
Yes — here's how fast and up to what context, with real measured numbers.
Tensor-Transformer(1core)+PN (WT103) on the Apple M3 Max 128GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1732k | 1594.4-1922.6 t/s | ~39.9-48.1 (slow) |
| Q8 | yes | 1734k | 3188.7-3845.3 t/s | ~79.7-96.1 (slow) |
| Q4 | yes | 1734k | 5694.2-6866.5 t/s | ~142.4-171.7 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
→ All models on the Apple M3 Max 128GB
→ Tensor-Transformer(1core)+PN (WT103) specs
→ Other hardware
FAQ
Can the Apple M3 Max 128GB run Tensor-Transformer(1core)+PN (WT103)?▶
Yes. At Q4 it generates ~5694.2-6866.5 tok/s and fits up to 1734k context; beyond that it spills to SSD swap and slows to ~142.4-171.7 tok/s.
How much context fits?▶
At Q4, up to about 1734k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.