The high-level lemonade API abstracts loading models from any supported framework (e.g., Hugging Face, OGA) and backend (e.g., CPU, iGPU, Hybrid) using the popular from_pretrained() function. This makes it easy to integrate lemonade LLMs into Python applications. OGA iGPU:

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Jul 29, 2024 · Starting with version 1.3, the Ryzen AI Software includes support for deploying LLMs on Ryzen AI PCs using the ONNX Runtime generate () API (OGA). This documentation is for the Hybrid execution mode of LLMs, which leverages both the NPU and GPU. The OGA-based flow supports Strix (STX) and Krackan Point (KRK) processors running Windows 11.

Aug 29, 2024 · 🎯 Run MMLU and Perplexity accuracy tests on OGA models 🌐 Launch an OGA model in a WebSocket server 💡 Access OGA models through huggingface-transformers-like APIs (e.g., from_pretrained())

Jul 29, 2024 · Starting with version 1.3, the Ryzen AI Software includes support for deploying LLMs on Ryzen AI PCs using the ONNX Runtime generate () API (OGA). This documentation is for the NPU execution of LLMs when using the OGA API. The Ryzen AI OGA flow supports the following processors running Windows 11:

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Dec 14, 2024 · Models quantized by Quark and prepared for the OGA-based hybrid execution flow (Ryzen AI 1.3) • 11 items • Updated 10 days ago

Models quantized by Quark and prepared for the OGA-based hybrid execution flow (Ryzen AI 1.3) • 11 items • Updated 11 days ago

Dec 14, 2024 · "Llama 2" means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at ai.meta.com/resources/models-and- libraries/llama-downloads/.

Run generative AI models with ONNX Runtime. This API gives you an easy, flexible and performant way of running LLMs on device. It implements the generative AI loop for ONNX models, including pre and post processing, inference with ONNX Runtime, logits processing, search and sampling, and KV cache management.