Safetensors
olmo_attnres
custom_code

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

Not-really-but-originally-Olmo-3 architecture 10M model with 2:1 SWA:GQA and HoPE embeddings. Trained on like 17B tokens of Fineweb-Edu (filtered to the splits before ChatGPT's release), DCLM-Edu and UltraData-Math.

(arch stability experiment more than anything)

Tasks Version Filter n-shot Metric Value Stderr
arc_challenge 1 none 0 acc ↑ 0.1519 ± 0.0105
none 0 acc_norm ↑ 0.2108 ± 0.0119
arc_easy 1 none 0 acc ↑ 0.3822 ± 0.0100
none 0 acc_norm ↑ 0.3636 ± 0.0099
hellaswag 1 none 0 acc ↑ 0.2709 ± 0.0044
none 0 acc_norm ↑ 0.2721 ± 0.0044
piqa 1 none 0 acc ↑ 0.5582 ± 0.0116
none 0 acc_norm ↑ 0.5555 ± 0.0116
Loading weights: 100% 132/132 [00:00<00:00, 9362.76it/s]
  9,851,456 parameters (torch.bfloat16)
  arithmark-3: 100% 32/32 [00:01<00:00, 20.44it/s]
  arithmark-3: raw 33.00% (330/1000)  normalized 33.10% (331/1000)
  speed: 638.8 examples/s  (tokenize 0.17s, evaluate 1.57s)

  Category                                                             N       Raw   Normalized
  ----------------------------------------------------------------------------------------------
  elementary_school_math_continuation::addition::grades_1_2::easy    128    28.91%       28.91%
  elementary_school_math_continuation::comparison::grades_2_3::medium    44    20.45%       20.45%
  elementary_school_math_continuation::comparison_difference::grades_2_3::medium    48    27.08%       27.08%
  elementary_school_math_continuation::data::grades_2_3::easy         43    30.23%       32.56%
  elementary_school_math_continuation::division::grades_3_4::medium    54    33.33%       31.48%
  elementary_school_math_continuation::fractions_counting::grades_3_4::medium    50    16.00%       16.00%
  elementary_school_math_continuation::geometry_area::grades_4_5::medium    52    53.85%       53.85%
  elementary_school_math_continuation::geometry_perimeter::grades_4_5::medium    45    37.78%       37.78%
  elementary_school_math_continuation::measurement::grades_2_3::easy    76    34.21%       34.21%
  elementary_school_math_continuation::money::grades_3_4::medium      64    28.12%       28.12%
  elementary_school_math_continuation::multiplication::grades_3_4::medium    74    39.19%       39.19%
  elementary_school_math_continuation::patterns::grades_3_4::medium    53    20.75%       20.75%
  elementary_school_math_continuation::subtraction::grades_1_2::easy   117    24.79%       24.79%
  elementary_school_math_continuation::time::grades_2_3::easy         55    98.18%       98.18%
  elementary_school_math_continuation::two_step_add_subtract::grades_2_3::medium    46    21.74%       21.74%
  elementary_school_math_continuation::two_step_addition::grades_2_3::medium    19    21.05%       21.05%
  elementary_school_math_continuation::two_step_subtraction::grades_2_3::medium    32    18.75%       21.88%

====================================================================
  ../exported_hf (9,851,456 params) RESULTS
====================================================================
  Raw continuation accuracy        33.00%
  Length-normalized accuracy       33.10%
  Primary (acc_norm)           33.10%
====================================================================
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Datasets used to train glossia/Rambley-V2-Delta-10M