IPEX-LLM (Intel Extension for PyTorch for Large Language Models) is a library and toolkit designed to accelerate LLM inference and fine-tuning on Intel hardware (CPU, GPU, NPU) through low-bit quantization (INT4, FP8, etc.), hardware-specific optimizations, and seamless integration with popular LLM ecosystems. The core functionality centers around the `optimize_model` function and optimized model loaders that enable efficient INT4/FP8 inference with minimal code changes. It provides integrations with Hugging Face Transformers, vLLM, LangChain, LlamaIndex, and serving solutions like FastAPI and FastChat. Despite its utility for LLM acceleration on Intel platforms, the project is explicitly archived with no active maintenance, updates, or security patches, limiting its long-term viability.