XeTute Technologies
You're currently using 1.5B as a base model, the correct one is 14B.
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| license: mit | |
| license_link: https://huggingface.co/OpenPipe/Deductive-Reasoning-Qwen-14B/blob/main/LICENSE | |
| language: | |
| - en | |
| pipeline_tag: text-generation | |
| base_model: | |
| - Qwen/Qwen2.5-14B-Instruct | |
| tags: | |
| - chat | |
| library_name: transformers | |
| # Deductive-Reasoning-Qwen-14B | |
|  | |
| Deductive Reasoning Qwen 14B is a reinforcement fine-tune of [Qwen 2.5 14B Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-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 32B](https://huggingface.co/OpenPipe/Deductive-Reasoning-Qwen-32B) | |
| 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 [email protected]! | |