DumbMath Preview 1 0722

Today, Small56.AI releases DumbMath Preview 1 0722. Despite its extremely small size of 665K parameters, this model outperforms a Atom-2.7M four times its size; although it is a preview version, it demonstrates arithmetic performance comparable to Qwen/Qwen2.5-0.5B.

  • Parameters: 665K
  • Training tokens: 0.52B
  • Training time: Under 2 hours on Colab T4

What the model cannot do

  • Conversation (no alphabet tokens exist)
  • Complex mathematics
  • Arithmetic outside its supported scope

arithmark

eval model score
ArithMark 2.0 mathbananamind-1.1 90.2%
our model 62.5%
qwen2.5-0.5B 63.0%
Parameters mathbananamind-1.1 2900K
our model 665K
qwen2.5-0.5B 494000k
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Safetensors
Model size
665k params
Tensor type
F32
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Dataset used to train 56m/DumbMath_Preview_1_0722