LLMOps: OpenVino Toolkit - Quantizing LLama3.1 8B to 4int and CPU Inference
The Machine Learning Engineer via YouTube
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Explore the process of converting a LLAMA3.1 8B model to OpenVino IR format and quantizing it to 4-bit integer precision in this 19-minute video tutorial. Learn how to perform inference on CPU using the quantized model. Access the accompanying notebook on GitHub to follow along with the step-by-step instructions for model conversion, quantization, and inference using the OpenVino Toolkit. Gain practical insights into LLMOps techniques for optimizing large language models for efficient deployment on CPU hardware.
Syllabus
LLMOps: OpenVino Toolkit quantizar 4int LLama3.1 8B e Inferencia CPU #datascience #machinelearning
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The Machine Learning Engineer