| ---
|
| license: mit
|
| license_link: https://huggingface.co/OpenPipe/Deductive-Reasoning-Qwen-32B/blob/main/LICENSE
|
| language:
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| - zho
|
| - eng
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| - fra
|
| - spa
|
| - por
|
| - deu
|
| - ita
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| - rus
|
| - jpn
|
| - kor
|
| - vie
|
| - tha
|
| - ara
|
| pipeline_tag: text-generation
|
| base_model:
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| - Qwen/Qwen2.5-32B-Instruct
|
| tags:
|
| - chat
|
| library_name: transformers
|
| ---
|
|
|
| # Deductive-Reasoning-Qwen-32B
|
|
|
| 
|
|
|
| Deductive Reasoning Qwen 32B is a reinforcement fine-tune of [Qwen 2.5 32B Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) to solve challenging deduction problems from the [Temporal Clue](https://github.com/bradhilton/temporal-clue) dataset, trained by [OpenPipe](https://openpipe.ai)!
|
|
|
| Here are some additional resources to check out:
|
|
|
| - [Blog Post](https://openpipe.ai/blog/using-grpo-to-beat-o1-o3-mini-and-r1-on-temporal-clue)
|
| - [Training Recipe](https://github.com/openpipe/deductive-reasoning)
|
| - [RL Experiments](https://github.com/openpipe/rl-experiments)
|
| - [Deductive Reasoning Qwen 14B](https://huggingface.co/OpenPipe/Deductive-Reasoning-Qwen-14B)
|
|
|
| If you're interested in training your own models with reinforcement learning or just chatting, feel free to [reach out](https://openpipe.ai/contact) or email Kyle directly at kyle@openpipe.ai!
|
|
|
|
|
