Welcome to Code with Prince In this tutorial, we're diving into the exciting world of running LLaMA (Language Model for Many Applications) right on your own computer using Python and Langchain. 🚀 Whether you're a seasoned developer or just starting out, this step-by-step guide will walk you through setting up and running the LLaMA-2 model both on CPU and GPU, unlocking a world of possibilities for natural language processing tasks.
🔗 Get ready to learn:
1. Downloading LlaMA model from hugging face
2. How to install the necessary dependencies for running LLaMA locally.
3. Loading the LLaMA-2 model using the powerful llama-cpp-python library.
4. Harnessing the capabilities of Langchain and CTransformers to streamline the process.
5. Running LLaMA on both CPU and GPU for optimal performance.
Links used in the video:
Download LlaMA from hugging face:
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LangChain Prompt used: [ Ссылка ]
LangChain CTransformers:
[ Ссылка ]
LangChain Llama-cpp-python installation:
[ Ссылка ]
No more limitations, no more reliance on external services – take full control of your NLP tasks with this comprehensive tutorial. The fusion of LLaMA, Python, and Langchain empowers you to explore new horizons in language processing, from chatbots to content generation and beyond.
📁 Ready-to-use code snippets and resources can be found in the video description.
🚀 Don't forget to like, comment, and subscribe for more in-depth coding guides and tech tutorials. Let's master LLaMA together and revolutionize the way we work with language!
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#LLaMA #Python #Langchain #NLP #CodeWithPrince #CPU #GPU #TechTutorial #NaturalLanguageProcessing
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