| | ---
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| | library_name: transformers
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| | license: apache-2.0
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| | base_model: Qwen/Qwen2.5-7B-Instruct
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| | tags:
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| | - llama-factory
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| | - full
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| | - generated_from_trainer
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| | datasets:
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| | - open-thoughts/open-thoughts-114k
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| | language:
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| | - zho
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| | - eng
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| | - fra
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| | - spa
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| | - por
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| | - deu
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| | - ita
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| | - rus
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| | - jpn
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| | - kor
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| | - vie
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| | - tha
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| | - ara
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| | model-index:
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| | - name: OpenThinker-7B
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| | results: []
|
| | ---
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| |
|
| | [](https://hf.co/QuantFactory)
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| |
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| |
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| | # QuantFactory/OpenThinker-7B-GGUF
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| | This is quantized version of [open-thoughts/OpenThinker-7B](https://huggingface.co/open-thoughts/OpenThinker-7B) created using llama.cpp
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| |
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| | # Original Model Card
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| |
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| |
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| | <p align="center">
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| | <img src="https://huggingface.co/datasets/open-thoughts/open-thoughts-114k/resolve/main/open_thoughts.png" width="50%">
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| | </p>
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| |
|
| | # OpenThinker-7B
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| |
|
| | This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the
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| | [OpenThoughts-114k dataset](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k) dataset.
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| |
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| | The dataset is derived by distilling DeepSeek-R1 using the [data pipeline available on github](https://github.com/open-thoughts/open-thoughts).
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| | 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).
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| |
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| | This model improves upon the [Bespoke-Stratos-7B model](https://huggingface.co/bespokelabs/Bespoke-Stratos-7B), which used 17k examples ([Bespoke-Stratos-17k dataset](https://huggingface.co/datasets/bespokelabs/Bespoke-Stratos-17k)).
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| | The numbers reported in the table below are evaluated with our open-source tool [Evalchemy](https://github.com/mlfoundations/Evalchemy).
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| |
|
| | | | AIME24 | MATH500 | GPQA-Diamond | LCBv2 Easy | LCBv2 Medium | LCBv2 Hard | LCBv2 All |
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| | | --------------------------- | -------- | ------- | ------------ | ----------- | ------------- | ----------- | ---------- |
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| | | OpenThinker-7B | 31.3 | 83.0 | 42.4 | 75.3 | 28.6 | 6.5 | 39.9 |
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| | | Bespoke-Stratos-7B | 22.7 | 79.6 | 38.9 | 71.4 | 25.2 | 0.8 | 35.8 |
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| | | DeepSeek-R1-Distill-Qwen-7B | 60 | 88.2 | 46.9 | 79.7 | 45.1 | 14.6 | 50.1 |
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| | | gpt-4o-0513 | 8.7 | 75.8 | 46.5 | 87.4 | 42.7 | 8.9 | 50.5 |
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| | | o1-mini | 64 | 85.6 | 60 | 92.8 | 74.7 | 39.8 | 72.8 |
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| |
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| | 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.
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| |
|
| | | | Open Weights | Open Data | Open Code |
|
| | |--|--------------|-----------| --------- |
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| | |OpenThinker-7B|✅|[✅](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)|[✅](https://github.com/open-thoughts/open-thoughts) |
|
| | |Bespoke-Stratos-7B|✅|[✅](https://huggingface.co/datasets/bespokelabs/Bespoke-Stratos-17k)|[✅](https://github.com/bespokelabsai/curator/tree/main/examples/bespoke-stratos-data-generation)|
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| | |DeepSeek-R1-Distill-Qwen-7B|✅|❌|❌|
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| | |gpt-4o-0513|❌|❌|❌|❌|
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| | |o1-mini|❌|❌|❌|❌|
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| |
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| |
|
| | ## Intended uses & limitations
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| |
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| | Apache 2.0 License
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| |
|
| |
|
| | ## Training procedure
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| |
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| | We used four 8xH100 nodes to train the model for 20 hours.
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| |
|
| | ### Training hyperparameters
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| |
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| | The following hyperparameters were used during training:
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| | - learning_rate: 1e-05
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| | - train_batch_size: 1
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| | - eval_batch_size: 8
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| | - seed: 42
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| | - distributed_type: multi-GPU
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| | - num_devices: 32
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| | - gradient_accumulation_steps: 3
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| | - total_train_batch_size: 96
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| | - total_eval_batch_size: 256
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| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| | - lr_scheduler_type: cosine
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| | - lr_scheduler_warmup_ratio: 0.1
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| | - num_epochs: 3.0
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| |
|
| | ### Framework versions
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| |
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| | - Transformers 4.46.1
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| | - Pytorch 2.3.0
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| | - Datasets 3.1.0
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| | - Tokenizers 0.20.3
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| |
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| | More info can be found in our repository: [https://github.com/open-thoughts/open-thoughts](https://github.com/open-thoughts/open-thoughts).
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| |
|
| | # Citation
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| | ```
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| | @misc{openthoughts,
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| | author = {Team, OpenThoughts},
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| | month = jan,
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| | title = {{Open Thoughts}},
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| | howpublished = {https://open-thoughts.ai},
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| | year = {2025}
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| | }
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| | ```
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| |
|
| | # Links
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| | - 📊 [Open Thoughts Launch Blog Post](https://www.open-thoughts.ai/blog/launch)
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| | - 💻 [Open Thoughts GitHub Repository](https://github.com/open-thoughts/open-thoughts)
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| | - 🧠 [OpenThoughts-114k dataset](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)
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| | - 🤖 [OpenThinker-7B model](https://huggingface.co/open-thoughts/OpenThinker-7B) - this model.
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| | - 📊 [Bespoke-Stratos Blog Post](https://www.bespokelabs.ai/blog/bespoke-stratos-the-unreasonable-effectiveness-of-reasoning-distillation)
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| | - 🧠 [Bespoke-Stratos-17k dataset](https://huggingface.co/datasets/bespokelabs/Bespoke-Stratos-17k)
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| | - 🤖 [Bespoke-Stratos-32B model](https://huggingface.co/bespokelabs/Bespoke-Stratos-32B)
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| | - 🤖 [Bespoke-Stratos-7B model](https://huggingface.co/bespokelabs/Bespoke-Stratos-7B)
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| |
|
| | |
