This GitHub repository contains a collection of example files demonstrating various use cases and configurations for the llamafiles tools, including examples:
* **System Administration:** Scripts and configurations for Ubuntu, Raspberry Pi 5, and macOS.
* **LLM Interaction:** Examples of prompts and interactions with LLMs like Mixtral and Dolphin.
* **Text Processing:** Scripts for summarizing text, extracting information, and formatting output.
* **Development Tools:** Examples related to Git, Emacs, and other development tools.
* **Hardware Monitoring:** Scripts for monitoring GPU and NVMe drive status.
* **System Administration:** Scripts and configurations for Ubuntu, Raspberry Pi 5, and macOS.
* **LLM Interaction:** Examples of prompts and interactions with LLMs like Mixtral and Dolphin.
* **Text Processing:** Scripts for summarizing text, extracting information, and formatting output.
* **Development Tools:** Examples related to Git, Emacs, and other development tools.
* **Hardware Monitoring:** Scripts for monitoring GPU and NVMe drive status.
The article discusses why Raspberry Pi is ideal for AI projects due to its powerful official AI kit, portable form factor, and active open-source community. It highlights the Raspberry Pi's processing power, the creativity it allows, and the potential for tinkerers to experiment with various AI models.
picoLLM is a cross-platform, on-device inference engine optimized for running compressed large language models (LLMs) on various devices. It is compatible with Linux, macOS, Windows, Raspberry Pi OS, Android, iOS, and web browsers.
