# ryzenai_notebook **Repository Path**: Vickyiii/ryzenai_notebook ## Basic Information - **Project Name**: ryzenai_notebook - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-05-07 - **Last Updated**: 2025-08-23 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Ryzen AI Notebook Welcome to the Gen AI Playground, a collection of notebooks designed to showcase generative AI workloads on AMD Ryzen AI PCs. ## Table of Notebook Contents ### Vitis HLS Teaching Assistant * [HLS Agent](./hls_agent/README.md) ### LLM * Tutorial - [Lemonade Tools Tutorial](https://gitee.com/Vickyiii/ryzenai_notebook/blob/master/llm/tutorial/lemonade_model_validation.ipynb) * RAG - [Implementing RAG using Langchain on AI PC](https://gitee.com/Vickyiii/ryzenai_notebook/blob/master/llm/rag/streamlit_rag_noteook.ipynb) - Agent - [Travel Agent using Langchain on AI PC](https://gitee.com/Vickyiii/ryzenai_notebook/blob/master/llm/travel_agent/AI_Travel_Agent_Tutorial.ipynb) * Chat - [CLI Chatbox Using Lemonade API on AI PC](https://gitee.com/Vickyiii/ryzenai_notebook/blob/master/llm/chat/chat_hybrid.py) * Search - [Search App Using Lemonade API on AI PC](https://gitee.com/Vickyiii/ryzenai_notebook/blob/master/llm/search/search_hybrid.py) - Lemonade Server Examples | App | Guide | | -------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------- | | [Open WebUI](https://github.com/open-webui/open-webui) | [How to chat with Lemonade LLMs in Open WebUI](https://ryzenai.docs.amd.com/en/latest/llm/server_interface.html#open-webui-demo) | | [Continue](https://www.continue.dev/) | [How to use Lemonade LLMs as a coding assistant in Continue](./llm/server/continue.md) | | [Microsoft AI Toolkit](https://learn.microsoft.com/en-us/windows/ai/toolkit/) | [Experimenting with Lemonade LLMs in VS Code using Microsofts AI Toolkit](./llm/server/ai-toolkit.md) | | [CodeGPT](https://codegpt.co/) | [How to use Lemonade LLMs as a coding assistant in CodeGPT](./llm/server/codeGPT.md) | | [MindCraft](mindcraft.md) | [How to use Lemonade LLMs as a Minecraft agent](./llm/server/mindcraft.md) | | [wut](https://github.com/shobrook/wut) | [Terminal assistant that uses Lemonade LLMs to explain errors](./llm/server/wut.md) | | [AnythingLLM](https://anythingllm.com/) | [Running agents locally with Lemonade and AnythingLLM](./llm/server/anythingLLM.md) | | [lm-eval](https://github.com/EleutherAI/lm-evaluation-harness) | A unified framework to test generative language models on a large number of different evaluation tasks. | ### Hardware [AMD® Ryzen AI 300 or Ryzen AI Max](https://www.amd.com/zh-cn/products/processors/consumer/ryzen-ai.html#tabs-9f9c97e306-item-6e04e82b39-tab) ## Requirements The Ryzen AI Software supports AMD processors with a Neural Processing Unit (NPU). Consult the release notes for the full list of supported configurations. The following dependencies must be present on the system before installing the Ryzen AI Software: | Dependencies | Version Requirement | | ---------------------- | ------------------- | | Windows 11 | build >= 22621.3527 | | Visual Studio | 2022 | | cmake | version >= 3.26 | | Miniconda or Miniforge | Latest version | ## Installation Steps 1. [Install NPU Drivers](https://ryzenai.docs.amd.com/en/latest/inst.html#install-npu-drivers) 2. [Install Ryzen AI Software 1.5.1](https://ryzenai.docs.amd.com/en/latest/inst.html#install-ryzen-ai-software) 3. [Install Lemonade ](https://github.com/lemonade-sdk/lemonade) ## Featured LLMs The following tables contain a curated list of LLMs that have been validated on Ryzen AI hybrid execution mode. The hybrid examples are built on top of OnnxRuntime GenAI (OGA). The comprehensive set of pre-optimized models for hybrid execution used in these examples are available in the [AMD hybrid collection on Hugging Face](https://huggingface.co/collections/amd/ryzenai-14-llm-hybrid-models-67da31231bba0f733750a99c). It is also possible to run fine-tuned versions of the models listed (for example, fine-tuned versions of Llama2 or Llama3). For instructions on how to prepare a fine-tuned OGA model for hybrid execution, refer to [Preparing OGA Models](https://ryzenai.docs.amd.com/en/latest/oga_model_prepare.html). ## Notebook Contribution Template 1. Required pip packages 2. Main Application Logic 3. Deployment details with Local LLM 4. Performance Analysis ## Reference 1. [Examples, Demos, Tutorials — Ryzen AI Software 1.5 documentation](https://ryzenai.docs.amd.com/en/latest/examples.html) 2. [TurnkeyML and Lemonade Tool](https://github.com/onnx/turnkeyml/tree/main) 3. [Amuse](https://www.amuse-ai.com/) 4. [Digest AI](https://github.com/onnx/digestai)