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LLMOps: OpenVino Toolkit Quantize to 4int LLama 3.1 8B Inference on CPU

Offered By: The Machine Learning Engineer via YouTube

Tags

Machine Learning Courses Deep Learning Courses LLaMA (Large Language Model Meta AI) Courses Inference Courses OpenVINO Courses Model Compression Courses LLMOps Courses

Course Description

Overview

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Learn how to convert a LLAMA3.1 8B Instruct model to IR OpenVino format and quantize it to 4-bit integer precision in this 24-minute video tutorial. Discover the process of performing inference on CPU using the quantized model. Follow along with the provided GitHub notebook to gain hands-on experience in LLMOps, focusing on the OpenVino Toolkit for model optimization and deployment. Explore practical applications in data science and machine learning as you master techniques for efficient model compression and inference on CPU hardware.

Syllabus

LLMOps: OpenVino Toolkit Quantize to 4int LLama3.1 8B Inference CPU #datascience #machinelearning


Taught by

The Machine Learning Engineer

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