๐ Transformers Low-Level API | 4-bit Quantization & Memory Optimization | LLM | Code Infinity
Learn how to efficiently run large language models like Llama 3.1, Phi-3, and Gemma 2 on consumer hardware using Hugging Face Transformers' low-level API. This tutorial covers 4-bit quantization, memory optimization techniques, real-time text generation, and a deep dive into transformer internals. Perfect for AI enthusiasts and developers looking to optimize inference speed and memory usage.
๐ GitHub Repository: https://github.com/ankitmalik84/youtube/tree/main/lowLevelApiOfTransformers
What you'll learn in this tutorial:
Run Llama, Phi-3, and Gemma models on GPUs with just 6GB VRAM
Use Bโฆ
Watch on YouTube โ
(saves to browser)
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