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LMDeploy is an integrated toolkit for compressing, deploying, and serving large language models (LLMs), offering solutions for efficient inference. This guide demonstrates LMDeploy's deployment process, quantization techniques, and API serving capabilities. Environment Setup Conda Environment Creation studio-conda -t lmdeploy -o pytorch-2.1.2 ...

Differences Between Loading Native and RKNN-Converted Models Models developed in frameworks like PyTorch, TensorFlow, or ONNX must be converted into the proprietary RKNN format to leverage Rockchip’s NPU aceleration. The RKNN format is optimized for Rockchip’s neural processing units, enabling efficient execution on embedded platforms such as t ...

llama.cpp serves as the underlying implementation for popular applications like Ollama, LMStudio, and is one of the supported inference engines in GPUStack. It provides the GGUF (General Gaussian U-Net Format) model file format designed specifically for optimized inference, enabling rapid loading and execution of models. The framework also supp ...