GGML

Run LLM Quickly on CPU Using Llama.cpp

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Run LLM Quickly on CPU Using Llama.cpp

Source: DeepHub IMBA This article is approximately 2300 words long and is recommended for a 10-minute read. This article introduces how to run LLM on high-performance CPU using the llama.cpp library in Python. Large Language Models (LLM) Are Becoming Increasingly Popular, But They Require A Lot Of Resources, Especially GPU. Large language models (LLM) are … Read more

Complete Guide to Deploying Open Source Large Models Locally: LangChain + Streamlit + Llama

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Complete Guide to Deploying Open Source Large Models Locally: LangChain + Streamlit + Llama

Source: DeepHub IMBA This article is about 4000 words, and it is recommended to read in 5 minutes. In this article, I will demonstrate how to create your own Document Assistant from scratch using LLaMA 7b and Langchain. In the past few months, large language models (LLMs) have gained tremendous attention, creating exciting prospects, especially … Read more