YoVDO

MLOps: Logging and Loading Microsoft Phi3 Mini 128k in GGUF with MLflow

Offered By: The Machine Learning Engineer via YouTube

Tags

MLOps Courses Machine Learning Courses Quantization Courses Inference Courses MLFlow Courses llama.cpp Courses GGUF Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn how to log and load a quantized LLama.cpp model in MLflow through this 18-minute tutorial video. Create a Python class, log it in MLflow, and load it for inference using a Microsoft Phi3 mini 128k model quantized with llama.cpp into int8. Follow along with the provided notebook to gain hands-on experience in implementing MLOps practices for machine learning and data science projects.

Syllabus

MLOPS MLFlow :Log and Load in MLflow Microsoft Phi3 mini 128k in GGUF #machinelearning #datascience


Taught by

The Machine Learning Engineer

Related Courses

Digital Signal Processing
École Polytechnique Fédérale de Lausanne via Coursera
Principles of Communication Systems - I
Indian Institute of Technology Kanpur via Swayam
Digital Signal Processing 2: Filtering
École Polytechnique Fédérale de Lausanne via Coursera
Digital Signal Processing 3: Analog vs Digital
École Polytechnique Fédérale de Lausanne via Coursera
Digital Signal Processing 4: Applications
École Polytechnique Fédérale de Lausanne via Coursera