# Token Distribution **Total Token Supply: 1,500,000,000 FGPT** The distribution of FGPT tokens is strategically designed to foster a decentralized and engaged community while supporting the long-term development and sustainability of FurGPT. **Initial Token Sale: 40% (600,000,000 FGPT)** A significant portion of FGPT tokens, 40%, will be allocated for the initial token sale. This allows early supporters, contributors, and investors to actively participate in the growth and development of FurGPT. **Team Advisors: 15% (225,000,000 FGPT)** To align the interests of the team and advisors with the success of FurGPT, 15% of the total token supply is allocated to them. These tokens will be subject to a vesting schedule to ensure a commitment to the project's long-term vision. **Community and Partnerships: 20% (300,000,000 FGPT)** A substantial portion, 20%, is reserved for community incentives, strategic partnerships, and ecosystem development. This allocation is aimed at fostering engagement, growth, and collaboration within the FurGPT community. **Reserve Fund: 15% (225,000,000FGPT)** To ensure the stability and future development of FurGPT, 15% of the token supply is allocated to a reserve fund. This fund may be used for strategic initiatives, marketing, and operational expenses.\ \ **Marketing: 10% (150,000,000 FGPT)** To grow the userbase, community and product awareness. **Token Vesting:** Tokens allocated to the team, advisors, and other stakeholders may be subject to a vesting schedule. Vesting ensures a gradual release of tokens over a specified period, aligning the interests of participants with the long-term success of FurGPT. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://whitepaper.furgpt.org/fgpt-tokenomics/token-distribution.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.