// RUN โ€” FITS

Can the Instinct MI430X run Pythia-160m?

Yes โ€” here's how fast and up to what context, with real measured numbers.

Pythia-160m on the Instinct MI430X

QuantFits?Max contextSpeedBeyond context
FP16 yes 6037k 45871.9-56065.6 t/s ~78.8-96.3 (slow)
Q8 yes 6039k 91743.8-112131.3 t/s ~157.5-192.5 (slow)
Q4 yes 6040k 163828.1-200234.4 t/s ~281.3-343.8 (slow)

Estimate (memory-bound). Beyond "max context" the KV cache spills to system RAM offload (depends on your system RAM) and speed drops to the "beyond" figure.

FAQ

Can the Instinct MI430X run Pythia-160m?โ–ถ

Yes. At Q4 it generates ~163828.1-200234.4 tok/s and fits up to 6040k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~281.3-343.8 tok/s.

How much context fits?โ–ถ

At Q4, up to about 6040k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.