laion/openthoughts-3-QwQ-32b-annotated-16k_qwen2.5-1.5B_16k

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Openthoughts-3-QwQ-32b-annotated-16kqwen2.5-1.5B16k

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the open-thoughts/OpenThoughts3-1.2M dataset (which is created using QwQ 32B with 16k output length).

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.00015
• —weight_decay: 0.0
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 256
• —totaltrainbatch_size: 256
• —totalevalbatch_size: 2048
• —optimizer: Use adamwtorchfused with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 2.0

Training results

Framework versions

• —Transformers 4.56.1
• —Pytorch 2.8.0+cu126
• —Datasets 4.4.1
• —Tokenizers 0.22.1