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README.md

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+
+---
+
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen2.5-7B-Instruct
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: OpenThinker-7B
+  results: []
+datasets:
+- open-thoughts/open-thoughts-114k
+
+---
+
+[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
+
+
+# QuantFactory/OpenThinker-7B-GGUF
+This is quantized version of [open-thoughts/OpenThinker-7B](https://huggingface.co/open-thoughts/OpenThinker-7B) created using llama.cpp
+
+# Original Model Card
+
+
+<p align="center">
+    <img src="https://huggingface.co/datasets/open-thoughts/open-thoughts-114k/resolve/main/open_thoughts.png" width="50%">
+</p>
+
+# OpenThinker-7B
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the 
+[OpenThoughts-114k dataset](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).
+
+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)).
+The numbers reported in the table below are evaluated with our open-source tool [Evalchemy](https://github.com/mlfoundations/Evalchemy).
+
+|                             | AIME24   | MATH500 | GPQA-Diamond | LCBv2 Easy  | LCBv2 Medium  | LCBv2 Hard  | LCBv2 All  |
+| --------------------------- | -------- | ------- | ------------ | ----------- | ------------- | ----------- | ---------- |
+| OpenThinker-7B              | 31.3     | 83.0    | 42.4         | 75.3        | 28.6          | 6.5         | 39.9       |
+| Bespoke-Stratos-7B          | 22.7     | 79.6    | 38.9         | 71.4        | 25.2          | 0.8         | 35.8       |
+| DeepSeek-R1-Distill-Qwen-7B | 60       | 88.2    | 46.9         | 79.7        | 45.1          | 14.6        | 50.1       |
+| gpt-4o-0513                 | 8.7       | 75.8    | 46.5         | 87.4        | 42.7          | 8.9         | 50.5       |
+| o1-mini                     | 64       | 85.6    | 60           | 92.8        | 74.7          | 39.8        | 72.8       |
+
+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-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)|
+|DeepSeek-R1-Distill-Qwen-7B|✅|❌|❌|
+|gpt-4o-0513|❌|❌|❌|❌|
+|o1-mini|❌|❌|❌|❌|
+
+
+## Intended uses & limitations
+
+Apache 2.0 License
+
+
+## Training procedure
+
+We used four 8xH100 nodes to train the model for 20 hours.
+
+### 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 GitHub Repository](https://github.com/open-thoughts/open-thoughts)
+- 🧠 [OpenThoughts-114k dataset](https://huggingface.co/datasets/open-thoughts/OpenThoughts-114k)
+- 🤖 [OpenThinker-7B model](https://huggingface.co/open-thoughts/OpenThinker-7B) - this model.
+- 📊 [Bespoke-Stratos Blog Post](https://www.bespokelabs.ai/blog/bespoke-stratos-the-unreasonable-effectiveness-of-reasoning-distillation)
+- 🧠 [Bespoke-Stratos-17k dataset](https://huggingface.co/datasets/bespokelabs/Bespoke-Stratos-17k)
+- 🤖 [Bespoke-Stratos-32B model](https://huggingface.co/bespokelabs/Bespoke-Stratos-32B)
+- 🤖 [Bespoke-Stratos-7B model](https://huggingface.co/bespokelabs/Bespoke-Stratos-7B)
+