Safetensors
olmo3_hope
custom_code

4d696582-ab0b-44b9-b827-01ea7d71d55b

Mostly Olmo-3 architecture 10M model with 2:1 SWA:GQA and HoPE embeddings. Trained on like 20B tokens of Fineweb-Edu (filtered to the splits before ChatGPT's release) and UltraData-Math.

Tasks Version Filter n-shot Metric Value Stderr
arc_challenge 1 none 0 acc ↑ 0.1809 ± 0.0112
none 0 acc_norm ↑ 0.2193 ± 0.0121
arc_easy 1 none 0 acc ↑ 0.3809 ± 0.0100
none 0 acc_norm ↑ 0.3544 ± 0.0098
hellaswag 1 none 0 acc ↑ 0.2722 ± 0.0044
none 0 acc_norm ↑ 0.2751 ± 0.0045
piqa 1 none 0 acc ↑ 0.5724 ± 0.0115
none 0 acc_norm ↑ 0.5615 ± 0.0116
  elementary_school_math_continuation::patterns::grades_3_4::medium    53    30.19%       30.19%
  elementary_school_math_continuation::subtraction::grades_1_2::easy   117    17.95%       18.80%
  elementary_school_math_continuation::time::grades_2_3::easy         55   100.00%      100.00%
  elementary_school_math_continuation::two_step_add_subtract::grades_2_3::medium    46    28.26%       28.26%
  elementary_school_math_continuation::two_step_addition::grades_2_3::medium    19    15.79%       15.79%
  elementary_school_math_continuation::two_step_subtraction::grades_2_3::medium    32    28.12%       28.12%

====================================================================
  ../step42526/ (9,835,712 params) RESULTS
====================================================================
  Raw continuation accuracy        31.00%
  Length-normalized accuracy       31.30%
  Primary (acc_norm)           31.30%
====================================================================
Results saved to benchmark_cache/.._step42526__arithmark-3_results.json
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Datasets used to train glossia/Rambley-V2-Gamma-10M