> For the complete documentation index, see [llms.txt](https://docs.gm.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.gm.ai/gmai-ecosystem/gminfra/gmmodel/features.md). # Features ### **gm-01-8B Model** * Pretrained and Instruction-Tuned: The model is finely tuned for a variety of generative text tasks. * Blockchain Function Calling: Supports various blockchain-related operations. ### API Support * cURL: Facilitates easy API requests from the command line. * Python and JavaScript: Comprehensive documentation for integration with popular programming languages. ### Built-In Functions * Market Data Access: Allows users to check the price of BTC and various altcoins. * Market Sentiment Analysis: Provides insights into market sentiment based on real-time data. * Check social sentiment: hecks social media platforms to gauge the sentiment around specific cryptocurrencies. This real-time data can provide valuable insights into public opinion and potential market movements. * Check hottest daily news: The Hottest Daily News feature provides the latest news articles and updates related to various cryptocurrencies. --- # 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://docs.gm.ai/gmai-ecosystem/gminfra/gmmodel/features.md?ask=&goal= ``` `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.