// RUN โ€” FITS

Can the Instinct MI430X run LFM2.5-Embedding-350M?

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

LFM2.5-Embedding-350M on the Instinct MI430X

QuantFits?Max contextSpeedBeyond context
FP16 yes 6031k 20970-25630 t/s ~36-44 (slow)
Q8 yes 6036k 41940-51260 t/s ~72-88 (slow)
Q4 yes 6039k 74892.9-91535.7 t/s ~128.6-157.1 (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 LFM2.5-Embedding-350M?โ–ถ

Yes. At Q4 it generates ~74892.9-91535.7 tok/s and fits up to 6039k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~128.6-157.1 tok/s.

How much context fits?โ–ถ

At Q4, up to about 6039k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.