Title: Unlocking Private Conversations with ChatGPT Offline: Privately Chatting with a Large Language Model on a CPU
In our previous article, we explored how to harness the power of stable diffusion on a CPU, eliminating the need for a graphics card. The same principle applies here: no GPU means patience is required. On the most powerful machines, you may barely achieve four tokens per second from a 7 billion parameter quantized model. However, the ability to load sensitive corporate documents, converse privately and offline on your own computer without anything leaving your network, or access an uncensored language model for non-politically correct information is well worth the effort. Another application could be for entertainment, such as crafting character prompts to interact with celebrities, movie characters, or even family members. Additionally, these models can be invaluable for coding tasks that involve classified government programs inaccessible to online GPT services.
It’s important to note that while these offline models may lack the sophistication of Google’s Gemini or OpenAI’s ChatGPT in terms of reasoning and other metrics, they still perform admirably in most scenarios.
Let’s explore our options:
Option 1: gpt4All (https://gpt4all.io/index.html)
gpt4All is an application compatible with Mac, Windows, and Linux. It features a minimalistic and user-friendly design, allowing users to download various large language models and load their own documents as indexings. The language model will have the knowledge of your documents. With gpt4All, you can effortlessly retrieve information from your documents or engage in chat interactions.
Option 2: LM Studio (https://lmstudio.ai/)
LM Studio offers the capability to run Large Language Models (LLMs) entirely offline on your laptop. You can utilize models through the in-app Chat UI or an OpenAI compatible local server. LM Studio enables you to download compatible model files from HuggingFace repositories and discover new and noteworthy LLMs directly within the application. It supports various models, including Llama 2, Orca, Vicuna, Nous Hermes, WizardCoder, and MPT, among others.
Minimum requirements for LM Studio include an M1/M2/M3 Mac or a Windows PC with a processor that supports AVX2. Linux support is available in beta.
And there you have it! Dive into the world of private, offline conversations with ChatGPT and other large language models, and enjoy exploring the possibilities.