This is the quantized version of PokeeAI's pokee_research_7b model, using llamacpp for iMatrix quantization, which can effectively improve the running efficiency of the model on different hardware and allow users to experience the powerful capabilities of the model in a low-resource environment.

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This is the quantized version of the PokeeAI/pokee_research_7b model, adhering to the concept of 'Making knowledge accessible to everyone', and reducing the resource requirements for model deployment and use through quantization technology.

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PokeeResearch-7B is a 7-billion-parameter deep research intelligent agent developed by Pokee AI. It combines reinforcement learning based on AI feedback (RLAIF) with an inference framework and can execute complex multi-step research workflows, including self-correction, verification, and comprehensive analysis.

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