*Incredibly* simple guide to run language models locally on your PC, in 5 simple steps for non-techies. : singularity
ChatGPT is a language model. You run it over the cloud. It is censored in many ways. These language models run on your computer, and your conversation with them is totally private. And it's free forever. And many of them are completely uncensored and will talk about anything, no matter how dirty or socially unacceptable, etc. The point is - this is your own personal private ChatGPT (not quite as smart) that will never refuse to discuss ANY topic, and is completely private and local on your machine. And yes it will write code for you too. This guide is for Windows (but you can run them on Macs and Linux too). 1) Create a new folder on your computer. 2) Go here and download the latest koboldcpp.exe: https://github.com/LostRuins/koboldcpp/releases As of this writing, the latest version is 1.29 Stick that file into your new folder. 3) Go to my leaderboard and pick a model. Click on any link inside the "Scores" tab of the spreadsheet, which takes you to huggingface. Check the Files and vers
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related reading
- Uncensored Modelserichartford.com
- GitHub - brexhq/prompt-engineering: Tips and tricks for working with Large Language Models like OpenAI's GPT-4.github.com
- Let's build GPT: from scratch, in code, spelled out.youtube.com
- Best practices for Claude Code - Claude Code Docsanthropic.com
- Reddit - Please wait for verificationreddit.com
- microgptkarpathy.github.io
- GPT in 60 Lines of NumPy | Jay Modyjaykmody.com
- GitHub - rasbt/LLMs-from-scratch: Implement a ChatGPT-like LLM in PyTorch from scratch, step by stepgithub.com
- GitHub - karpathy/nanochat: The best ChatGPT that $100 can buy.github.com
- The Llama Hitchiking Guide to Local LLMs – hackerllamaosanseviero.github.io
- GitHub - shroominic/codeinterpreter-api: 👾 Open source implementation of the ChatGPT Code Interpretergithub.com
- ChatGPT Free vs. Paid - What's the difference?youreverydayai.com