Model Name	Dataset size	AIME24 I/II	AIME25 I	MATH500	GPQA Diamond	LCBv2
OpenThinker-7B	114k	31.3	30.7	84.4	38.9	41.8
OpenThinker-7B-Unverified	173k	34	29.33	83	39.4	43.8
OpenThinker-32B	114k	66.7	53.3	90.6	61.6	68.9
OpenThinker-32B-Unverified	173k	60.7	44	90	60.6	69.2

Intended uses & limitations

Apache 2.0

Training procedure

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 16
gradient_accumulation_steps: 6
total_train_batch_size: 96
total_eval_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0