?? Harnessing the Power of LLM'S on CPU: A Quick Guide! ????

Hello LinkedIn community! Today, let's dive into the world of powerful language models and explore a quick guide on loading a pre-trained model like Zephyr on CPU. ????

Since I'll be using the Zephyr-7b-GGUF model in this tutorial, let's quickly understand what gguf is.

GGUF LLM models are a type of large language models that use a novel file format called GGUF, which stands for Generalized Graph U-Net Fusion. GGUF is a format that allows efficient inference of quantized models from a single file, making the deployment process simpler and more cost-effective.

GGUF LLM models can be used in CPU machines for various natural language processing tasks, such as text generation, question answering, summarization, and more. However, using GGUF LLM models on CPU machines may have some limitations, such as lower speed, higher memory consumption, and reduced accuracy compared to GPU machines.

I've included a notebook link below so you may use CPU machines to run Zephyr-7b. You can also make use of a small GPU if you have one. And for that also, I've provided a code.

Github link:- https://github.com/vasanth9p/Load_LLMs_on_cpu

#NLP #computervision #llms #zephyr #opentowork #datascientist #DeepLearning #MachineLearning #LinkedInPost