Add question-answering pipeline tag and link to Hugging Face paper
#1
by
nielsr
HF Staff
- opened
README.md
CHANGED
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@@ -1,15 +1,16 @@
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---
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library_name: transformers
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license: apache-2.0
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base_model:
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- Qwen/Qwen2.5-Math-7B
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---
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# Qwen2.5-Math-7B-Oat-Zero
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## Links
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- π [Paper](https://
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- π» [GitHub](https://github.com/sail-sg/understand-r1-zero)
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- π€ [Oat-Zero Collection](https://huggingface.co/collections/sail/oat-zero-understanding-r1-zero-like-training-67dcdb07b9f3eb05f1501c4a)
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@@ -33,17 +34,24 @@ import vllm
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def apply_qwen_math_template(question: str):
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return (
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"<|im_start|>system
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+ question
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+ "<|im_end
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)
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def apply_r1_template(question: str):
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return (
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"A conversation between User and Assistant. The User asks a question, and the Assistant solves it. The Assistant first thinks about the reasoning process in the mind and then provides the User with the answer. "
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"The reasoning process is enclosed within <think> </think> and answer is enclosed within <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer
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+ question
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+ "
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)
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model_name = "sail/Qwen2.5-Math-7B-Oat-Zero"
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@@ -85,4 +93,4 @@ print(outputs)
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year={2025},
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howpublished={\url{https://github.com/sail-sg/understand-r1-zero}},
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}
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```
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---
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base_model:
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- Qwen/Qwen2.5-Math-7B
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library_name: transformers
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license: apache-2.0
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pipeline_tag: question-answering
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---
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# Qwen2.5-Math-7B-Oat-Zero
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## Links
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- π [Paper](https://huggingface.co/papers/2503.20783)
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- π» [GitHub](https://github.com/sail-sg/understand-r1-zero)
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- π€ [Oat-Zero Collection](https://huggingface.co/collections/sail/oat-zero-understanding-r1-zero-like-training-67dcdb07b9f3eb05f1501c4a)
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def apply_qwen_math_template(question: str):
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return (
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"<|im_start|>system
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Please reason step by step, and put your final answer within \\boxed{}.<|im_end|>
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<|im_start|>user
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"
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+ question
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+ "<|im_end|>
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<|im_start|>assistant
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"
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)
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def apply_r1_template(question: str):
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return (
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"A conversation between User and Assistant. The User asks a question, and the Assistant solves it. The Assistant first thinks about the reasoning process in the mind and then provides the User with the answer. "
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"The reasoning process is enclosed within <think> </think> and answer is enclosed within <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think> <answer> answer here </answer>.
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User: "
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+ question
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+ "
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Assistant: <think>"
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)
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model_name = "sail/Qwen2.5-Math-7B-Oat-Zero"
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year={2025},
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howpublished={\url{https://github.com/sail-sg/understand-r1-zero}},
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}
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```
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