Update README.md

README.md

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 We're thrilled to introduce the Octo-planner, the latest breakthrough in on-device language models from Nexa AI. Developed for the Planner-Action Agents Framework, Octo-planner enables rapid and efficient planning without the need for cloud connectivity, this model together with [Octopus-V2](https://huggingface.co/NexaAIDev/Octopus-v2) can work on edge devices locally to support AI Agent usages.
 
 ### Key Features of Octo-planner:
-- **Efficient Planning**: Utilizes fine-tuned plan model based on Phi-3 Mini (2.51 billion parameters) for high efficiency and low power consumption.
+- **Efficient Planning**: Utilizes fine-tuned plan model based on Phi-3 Mini (3.82 billion parameters) for high efficiency and low power consumption.
 - **Agent Framework**: Separates planning and action, allowing for specialized optimization and improved scalability.
 - **Enhanced Accuracy**: Achieves a planning success rate of 98.1% on benchmark dataset, providing reliable and effective performance.
 - **On-device Operation**: Designed for edge devices, ensuring fast response times and enhanced privacy by processing data locally.