🔌
New: connect Claude & other AIs to GenAIList over MCP — research the catalog and contribute to the shared knowledge base. Learn how →
// RUN — FITS
Can the Apple M1 Ultra 128GB run EngGPT2 16B-A3B?
Yes — here's how fast and up to what context, with real measured numbers.
EngGPT2 16B-A3B on the Apple M1 Ultra 128GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 312k | 17-20.5 t/s | ~0.2-0.3 (slow) |
| Q8 | yes | 373k | 34-41 t/s | ~0.4-0.5 (slow) |
| Q4 | yes | 400k | 60.7-73.2 t/s | ~0.8-0.9 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
FAQ
Can the Apple M1 Ultra 128GB run EngGPT2 16B-A3B?▶
Yes. At Q4 it generates ~60.7-73.2 tok/s and fits up to 400k context; beyond that it spills to SSD swap and slows to ~0.8-0.9 tok/s.
How much context fits?▶
At Q4, up to about 400k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.