"Seamless Guide: Run GPU Local GPT on Windows Without Errors | Installation Tips & Troubleshooting" | simplify AI | 2024 | #privategpt #deep #ai #chatgpt4 #machinelearning #localGPT #windows
Important links :
🔗Blog Link : [ Ссылка ]
🔗 Website Link : [ Ссылка ]
🔗 Local GPT Playlist : [ Ссылка ]-
Description :
🌟 Welcome back to our spectacular channel! 🌟
In today's exciting tutorial, I'm going to guide you through the magical journey of unlocking the power of GPU in Local GPT. 🚀 Brace yourself as we navigate through potential hiccups and turn them into triumphs!
But hey, before we embark on this GPU adventure, make sure you caught the vibes from my last video on Local GPT. This tutorial is like the sequel to an epic saga where we conquered the installation of Miniconda, danced through Local GPT installations, mastered the art of running it, and explored the enchanting Local GPT web UI.
Now, let's dive into the action! 🎬 Behold our "pro" folder, guarding the entrance to our Local GPT realm.
Closing this chapter, we'll open the gates to our terminal. 🚪 First, step into the Conda wonderland (created in the past videos) with the magic words "conda activate." 🧙♂️ Then, take a stroll to our Local GPT folder with "CD" and clear the screen with the wizardry of "CLS."
Next, let's check if our system is equipped with the essential libraries. Execute the spell: "python -c 'import torch; print(torch.cuda.is_available())'". 🧐 Don't worry about the incantations; I've left a treasure map to my blog in the description, guiding you through the magical commands.
If your system nods with a confident "True," great! If it shrugs with a humble "False," fear not. Cast away the old library with "pip uninstall."
Now, cast the spell "pip install torch" with an index URL (codes in the description). After the magic dust settles, run the spell again, and voila! A triumphant "True" awaits.
But hold on, we're only halfway through the magical potion! 🧙 The remaining 50% involves harmonizing our quantized LLM models with torch. Utter the spell "pip install Llama CPP" (version 0.2.23 or 0.1.83, as whispered by the ancient scrolls on our blog).
Be patient; magic takes time. Now, with the library enchanted successfully, we're ready to wield the GPU-powered wand of Local GPT.
To activate Local GPT with GPU, chant the spell "Run Local GPT --device_type cuda" directly. If you're adding a new parchment, kick off the incantation with "ingest.py." This spell embeds your system's text into a magical vector database for model queries.
Once the magical embedding is complete, run Local GPT again with "python Run Local GPT --device_type cuda." Any wizardry woes? Drop them in the cauldron of comments. The prompt area is your mystical portal for inputting queries related to your sacred document and receiving enchanted answers.
And there you have it! Our Local GPT series concludes with a sprinkle of magic. 🌈 I hope this mystical journey has added a touch of enchantment to your life. Stay tuned for more adventures in the wizarding world of tech! 🚀✨
Hashtags:
#LocalGPT
#PythonProgramming
#AIInstallation
#NLPProcessing
#ErrorResolution
#CondaEnvironment
#LlamaCPP
#DocumentAnalysis
#CPUOptimization
#YouTubeTutorial
Tags -
chatgpt, ai, artificial intelligence, privategpt, private gpt, chat with files, open-source gpt, open source llm, gpt4, gpt3.5, chat gpt, open ai, gpt4all, gpt 4 all, tutorial, llm tutorial
