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Source: paper:PDF p.9, Table 1 and §5.2
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0/66 assessed
The complete result group stays with its claim. Assessed rows come first; their judgments do not replace the whole-claim conclusion. Expand a row for conditions, sources, and evidence history.
| Metric and conditions | Reported | Latest observation | Evidence judgment |
|---|---|---|---|
model: DS-Llama-8B · method: AutoRegressive · dataset: AIME25 | 1,520.1 output token/s | — | Not assessed |
model: DS-Llama-8B · method: AutoRegressive · dataset: AIME25 | 1 × AutoRegressive | — | Not assessed |
model: DS-Llama-8B · method: AutoRegressive · dataset: CodeElo | 1,480.9 output token/s | — | Not assessed |
model: DS-Llama-8B · method: AutoRegressive · dataset: CodeElo | 1 × AutoRegressive | — | Not assessed |
model: DS-Llama-8B · method: AutoRegressive · dataset: LB[16k-18k] | 785.3 output token/s | — | Not assessed |
model: DS-Llama-8B · method: AutoRegressive · dataset: LB[16k-18k] | 1 × AutoRegressive | — | Not assessed |
model: DS-Llama-8B · method: AutoRegressive · dataset: LB-v2[30k-40k] | 386.1 output token/s | — | Not assessed |
model: DS-Llama-8B · method: AutoRegressive · dataset: LB-v2[30k-40k] | 1 × AutoRegressive | — | Not assessed |
model: DS-Llama-8B · method: AutoRegressive · dataset: LB-v2[80k-100k] | 150.6 output token/s | — | Not assessed |
model: DS-Llama-8B · method: AutoRegressive · dataset: LB-v2[80k-100k] | 1 × AutoRegressive | — | Not assessed |
model: DS-Llama-8B · method: AutoRegressive · dataset: all five workloads | 1 × AutoRegressive | — | Not assessed |
model: DS-Llama-8B · method: MagicDec · dataset: AIME25 | 1,990.6 output token/s | — | Not assessed |