The yrshi/ReMemR1-7B is a 7.6 billion parameter instruction-tuned language model, based on the Qwen2.5-7B-Instruct architecture. Developed by yrshi, this model is specifically fine-tuned for agentic tasks, leveraging the BytedTsinghua-SIA/hotpotqa dataset. With a context length of 32768 tokens, it is designed to excel in complex reasoning and question-answering scenarios, making it suitable for applications requiring advanced conversational AI and information retrieval.
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Hugging Face