# OpenThinker-32B This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) on the [OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k) dataset. The dataset is derived by distilling DeepSeek-R1 using the [data pipeline available on github](https://github.com/open-thoughts/open-thoughts). More info about the dataset can be found on the dataset card at [OpenThoughts-114k dataset](https://huggingface.co/datasets/open-thoughts/open-thoughts-114k). The numbers reported in the table below are evaluated with our open-source tool [Evalchemy](https://github.com/mlfoundations/Evalchemy). |Model Name|Dataset Size|AIME24 I/II|AIME25 I|MATH500|GPQA Diamond|LCBv2| |---|---|---|---|---|---|---| |LIMO-32B|0.8k|56.7|49.3|86.6|58.1|60.0| |s1-32B|1k|36.0|25.3|84.8|50.5|40.9| |s1.1-32B|1k|64.7|49.3|89.0|60.1|65.5| |DeepSeek-R1-Distill-Qwen-32B|800k (closed)|**76.7**|**55.9**|89.4|57.6|**71.2**| |**OpenThinker-32B**|114k|66.0|53.3|**90.6**|**61.6**|68.9| We are fully open-source. Our [model weights](https://huggingface.co/open-thoughts), [datasets](https://huggingface.co/open-thoughts), [data generation code](https://github.com/open-thoughts/open-thoughts), [evaluation code](https://github.com/mlfoundations/Evalchemy), and [training code](https://github.com/hiyouga/LLaMA-Factory) are all publicly available. | | Open Weights | Open Data | Open Code | |--|--------------|-----------| --------- | |OpenThinker-32B|✅|[✅](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)|[✅](https://github.com/open-thoughts/open-thoughts) | |DeepSeek-R1-Distill-Qwen-32B|✅|❌|❌| |OpenAI/Gemini|❌|❌|❌|❌| ## Intended uses & limitations Apache 2.0 License ## Training procedure We finetune [Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) on [OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k) for 3 epochs with a 16k context length using [LlamaFactory](https://github.com/hiyouga/LLaMA-Factory). Our [full training configuration](https://github.com/open-thoughts/open-thoughts/blob/main/train/OpenThinker-32B.yaml) is provided in [our repository](https://github.com/open-thoughts/open-thoughts/tree/main). Training the 32B model on [OpenThoughts-114k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k) was done on AWS SageMaker with 8xH100 P5 nodes. On 4 nodes, this took around 90 hours. Meanwhile, for training on [OpenThoughts-Unverified-173k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Unverfied-173k), we used 96 nodes of 4xA100 (64 GB per GPU), training took 30 hours, spending 11,520 A100 hours on the Leonardo Supercomputer. ### Training hyperparameters 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: 32 - gradient_accumulation_steps: 3 - total_train_batch_size: 96 - total_eval_batch_size: 256 - 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 ### Framework versions - Transformers 4.46.1 - Pytorch 2.3.0 - Datasets 3.1.0 - Tokenizers 0.20.3 More info can be found in our repository: [https://github.com/open-thoughts/open-thoughts](https://github.com/open-thoughts/open-thoughts). # Citation ``` @misc{openthoughts, author = {Team, OpenThoughts}, month = jan, title = {{Open Thoughts}}, howpublished = {https://open-thoughts.ai}, year = {2025} } ``` # Links - 📊 [Open Thoughts Launch Blog Post](https://www.open-thoughts.ai/blog/launch) - 📊 [Open Thoughts Measuring Reasoning with Evalchmey Blog Post](https://www.open-thoughts.ai/blog/measure) - 📊 [Open Thoughts OpenThinker-32B Post](https://www.open-thoughts.ai/blog/scale) - 💻 [Open Thoughts GitHub Repository](https://github.com/open-thoughts/open-thoughts) - 🧠 [OpenThoughts-114k dataset](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k) - 🧠 [OpenThoughts-Unverified-173k dataset](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Unverified-173k) - 🤖 [OpenThinker-7B model](https://huggingface.co/open-thoughts/OpenThinker-7B) - 🤖 [OpenThinker-7B-Unverfied model](https://huggingface.co/open-thoughts/OpenThinker-7B-Unverified) - 🤖 [OpenThinker-32B model](https://huggingface.co/open-thoughts/OpenThinker-32B) - this model - 🤖 [OpenThinker-32B-Unverified model](https://huggingface.co/open-thoughts/OpenThinker-32B-Unverified)