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// RUN — FITS
Can the Huawei Ascend 950DT run Pythia-6.9b?
Yes — here's how fast and up to what context, with real measured numbers.
Pythia-6.9b on the Huawei Ascend 950DT
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 894k | 188.4-229 t/s | ~1.9-2.3 (slow) |
| Q8 | yes | 947k | 376.8-458 t/s | ~3.8-4.6 (slow) |
| Q4 | yes | 970k | 672.9-817.8 t/s | ~6.7-8.2 (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 Huawei Ascend 950DT run Pythia-6.9b?▶
Yes. At Q4 it generates ~672.9-817.8 tok/s and fits up to 970k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~6.7-8.2 tok/s.
How much context fits?▶
At Q4, up to about 970k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.