---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2.5-7B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: DCFT-Stratos-Verified-114k-7B-4gpus
  results: []
datasets:
- open-thoughts/open-thoughts-114k
---

<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              | 43.3     | 83.0    | 42.4         | 75.3        | 28.6          | 6.5         | 39.9       |
| Bespoke-Stratos-7B          | 16.6     | 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                 | 10       | 75.8    | 46.5         | 87.4        | 42.7          | 8.9         | 50.5       |
| o1-mini                     | 63       | 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).

# 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)