README.md

---
library_name: transformers
license: other
base_model: Qwen/Qwen2.5-32B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: DCFT-Stratos-Unverified-114k-32B
  results: []
---

<p align="center">
    <img src="https://huggingface.co/datasets/open-thoughts/open-thoughts-114k/resolve/main/open_thoughts.png" width="50%">
</p>

# OpenThinker-32B-Unverified

This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) on the 
[OpenThoughts-Unverified-173k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Unverified-173k) dataset.

Please see [OpenThinker-32B](https://huggingface.co/open-thoughts/OpenThinker-32B) for more information.

|Model Name|Dataset size|AIME24 I/II|AIME25 I|MATH500|GPQA Diamond|LCBv2|
|---|---|---|---|---|---|---|
|[OpenThinker-7B](https://huggingface.co/open-thoughts/OpenThinker-7B)|114k|31.3|30.7|84.4|38.9|41.8|
|[OpenThinker-7B-Unverified](https://huggingface.co/open-thoughts/OpenThinker-7B-Unverified)|173k|34|29.33|83|39.4|43.8|
|[OpenThinker-32B](https://huggingface.co/open-thoughts/OpenThinker-32B)|114k|66.7|53.3|90.6|61.6|68.9|
|[OpenThinker-32B-Unverified](https://huggingface.co/open-thoughts/OpenThinker-32B-Unverified)|173k|60.7|44|90|60.6|69.2|



## Intended uses & limitations

Apache 2.0

## Training procedure

### 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: 384
- total_train_batch_size: 384
- total_eval_batch_size: 3072
- optimizer: Use 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

### Training results



### Framework versions

- Transformers 4.46.1
- Pytorch 2.5.0a0+b465a5843b.nv24.09
- Datasets 3.0.2
- Tokenizers 0.20.3