The collection for the Paper "SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild"
HKUST NLP Group
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7
models
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hkust-nlp/Llama-3.1-8B-SimpleRL-Zoo
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hkust-nlp/Qwen-2.5-32B-SimpleRL-Zoo
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hkust-nlp/Qwen-2.5-7B-SimpleRL-Zoo
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hkust-nlp/DeepSeek-Math-7B-SimpleRL-Zoo
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hkust-nlp/Mistral-7B-v0.1-SimpleRL-Zoo
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hkust-nlp/Qwen-2.5-1.5B-SimpleRL-Zoo
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hkust-nlp/Qwen-2.5-0.5B-SimpleRL-Zoo
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hkust-nlp/Qwen-2.5-14B-SimpleRL-Zoo
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hkust-nlp/Mistral-Small-24B-SimpleRL-Zoo
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hkust-nlp/Qwen-2.5-Math-7B-SimpleRL-Zoo
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datasets
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hkust-nlp/GUIMid
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hkust-nlp/SimpleRL-Zoo-Data
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hkust-nlp/PreSelect-100B
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hkust-nlp/CodeIO-PyEdu-Reasoning
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hkust-nlp/CodeIO-PyEdu-Reasoning-Raw
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hkust-nlp/SynCSE-partial-NLI
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hkust-nlp/SynCSE-scratch-NLI
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hkust-nlp/gsm8k-fix
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hkust-nlp/dart-math-uniform
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hkust-nlp/vrt-baseline
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