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RoadQAQ/ReLIFT-Qwen2.5-7B-Zero
ReLIFT-Qwen2.5-7B-Zero is a question answering model from RoadQAQ. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.
ReLIFT, a training method that interleaves RL with online FT, achieving superior performance and efficiency compared to using RL or SFT alone, as described in Learning What Reinforcement Learning Can't: Interleaved On…
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From the Hugging Face model README
ReLIFT, a training method that interleaves RL with online FT, achieving superior performance and efficiency compared to using RL or SFT alone, as described in Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions.
Code: https://github.com/TheRoadQaQ/ReLIFT
Project page: https://github.com/TheRoadQaQ/ReLIFT