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// RUN — FITS
Can the Instinct MI430X run Jamba 1.5-Large?
Yes — here's how fast and up to what context, with real measured numbers.
Jamba 1.5-Large on the Instinct MI430X
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | no | — | — | — |
| Q8 | no | — | — | — |
| Q4 | yes | 330k | 65.9-80.5 t/s | ~0.1-0.1 (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 Jamba 1.5-Large?▶
Yes. At Q4 it generates ~65.9-80.5 tok/s and fits up to 330k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~0.1-0.1 tok/s.
How much context fits?▶
At Q4, up to about 330k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.