Llama-3.1-Tulu-3-70B-DPO
39±1
37interval41
aiqbench · LLM benchmarks
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One grid, every column. Pick axes in the Axes panel — one axis ranks like a single board, several blend into a weighted composite, all of them read as the index. Rank is assigned before any filter and never renumbers.
| Model | Org | Interval | Swing | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | Add to compare | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 841 | Llama-3.1-Tulu-3-70B-DPO | Allen Institute for AI,University of Washington | — | — | 38.6 21.5Ranked 38.6 = (2 × 21.5 + 3 × 50) ÷ 5. 21.5 is the mean percentile over the 2 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 37–41 | 13 | 2/22low | #333–841 | — | — | — | — | — | — | — | 28 | 15 | — | — | — | — | — | — | — | — | — | — | — | — | — |
Blend is coverage-shrunk; the raw composite is shown greyed beside it · A low badge means fewer than 3 boards scored this model