> For the complete documentation index, see [llms.txt](https://navyai.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://navyai.gitbook.io/docs/gpu-contribution-program/join-our-testnet.md).

# Join Our Testnet

We're dedicating 40% of the entire token supply to reward participants of our incentivized testnet and contribution program . These rewards will be available as liquid $NAVY tokens during the Token Generation Event (TGE), immediately following the conclusion of the testnet phase.

**Rewards Distribution**

Details To Be Determined (TBD)

Rewards will be divided into two main categories: one for contributions related to the decentralized GPU network and another for experimentation with Large Language Models (LLM) on our social media pages. The distribution of rewards between these categories will reflect the network's demand for each model type.

**Participation Guidelines**

**Option 1: Use Your Own GPU**

If you have a GPU high from gaming, unused Ethereum mining rigs, AI research, or excess data center capacity, you're invited to join. If your config is not confident enough, don't worry, you're still can participate, our excellent engineering team will use all of these resources to pool a larger pool of resources to train LLM models..\
\
&#x20;Download the contribution client from 5th March 2024 to start setting up your contribution licenses. For hardware requirements and a detailed setup guide, refer to our Miner Guide page.

**Option 2: Participate in our LLM interacting activities**\
We will open interactive programs with large language models (LLM) across NavyAI communities. Get involved, test some interesting AI models and get a chance to receive incentives from these activities.<br>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://navyai.gitbook.io/docs/gpu-contribution-program/join-our-testnet.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
