Learn how to convert the Alibaba Cloud Qwen2 VL 2 billion parameter model to OpenVino IR format and perform CPU inference in this Spanish-language technical video. Follow along with detailed instructions for model conversion, explore the implementation process using provided Jupyter notebooks, and understand the key steps for optimizing large language models for CPU deployment using OpenVino's IR format. Access companion notebooks from the GitHub repository to practice the conversion process and inference implementation hands-on.
Converting Alibaba Cloud Qwen2-VL Model to OpenVino IR Format - Spanish Tutorial
The Machine Learning Engineer via YouTube
Overview
Syllabus
LLMOps: OpenVino Convertir Qwen2-VL 2Billones a formato IR Español #datascience #machinelearning
Taught by
The Machine Learning Engineer
Related Courses
-
Converting Qwen2-VL 2B Model to OpenVino IR Format for CPU Inference
-
LLM Review: Qwen2 VL 2 Billion Parameter Instruct Model for Data Science and Machine Learning
-
MLOps MLFlow: Integrating OpenVino Models with MLflow
-
LLMOps: Comparison of OpenVino, ONNX, TensorRT, and PyTorch Inference
-
Converting and Compressing Phi3.5 Vision Models with MLflow and OpenVINO
-
LLMs: Revisión de Qwen2 VL - Modelo de Lenguaje Visual de 2 Billones de Parámetros
