免费使用离线ChatGPT,不需要OpenAI API密钥!
Table of Contents:
- Introduction
- Step 1: Download and Install LM Studio
2.1. LM Studio Features
- Step 2: Download a Large Language Model
3.1. Finding Compatible Models
3.2. Downloading the Model
- Step 3: Setting Up the AI Chat Interface
4.1. Accessing the AI Chat Interface
4.2. Loading the Downloaded Model
4.3. Adjusting Model Parameters
- Chatting with the Assistant
5.1. Sending Messages
5.2. Exporting Chat Screenshots
5.3. Regenerating Responses
- Using LM Studio as a Developer
6.1. Starting an Inference Server
6.2. Connecting with LLM Application
6.3. Checking Model Files and Folders
6.4. Deleting Models or Files
- Conclusion
How to Create Your Own Offline Chat GPT Without an Open AI API Key
In today's tech-savvy world, AI chat bots and chat GPT have gained immense popularity, transforming the way we Interact with technology. But what if You could create your own offline chat GPT without the need for an open AI API key? Well, you're in luck! In this tutorial, we will unlock the secrets to crafting your very own offline chat GPT for free. You don't need any coding experience, just a passion for exploring the wonders of AI. Let's get started!
Step 1: Download and Install LM Studio
To begin, you'll need to download and install LM Studio, a software that allows you to discover, download, and run any large language model in your system locally. LM Studio is available for all platforms, including Mac, Windows, and Linux. Once installed, you can access a user-friendly interface that simplifies the process of creating your Own Chat GPT.
LM Studio Features
LM Studio offers several key features that make it an ideal tool for building your offline chat GPT:
- Run any language model on your laptop entirely offline.
- Use any model directly in a chat UI or an open AI compatible local server.
- Download compatible model files from Hugging Face.
- Discover new and noteworthy language models in the apps homepage.
- Supports all open-source Hugging Face models.
Step 2: Download a Large Language Model
In order to create your offline chat GPT, you'll need to download a large language model locally in your system. LM Studio provides a search tab where you can find the latest release and version of various models. The software also suggests model compatibility Based on your system.
Finding Compatible Models
Using the search tab, you can find models such as Zephier 7B, Mistol 7B, Cod Lama 7B, and many others. You can also check the details of each model, including its size and performance.
Downloading the Model
Once you have found a compatible model, simply click the download tab and save the model files to your system. LM Studio provides a progress bar to track the download process. After the download is complete, you can proceed to the next step.
Step 3: Setting Up the AI Chat Interface
Now that you have LM Studio installed and a language model downloaded, it's time to set up the AI chat interface for your offline chat GPT. The chat interface allows you to interact with your newly created assistant.
Accessing the AI Chat Interface
In LM Studio, navigate to the AI chat tab to access the user interface for chatting with your assistant. Here, you'll find a text input box where you can send messages to the AI.
Loading the Downloaded Model
In the model tab of the chat interface, select the downloaded language model and load it. This step ensures that the AI assistant is powered by the chosen model.
Adjusting Model Parameters
Open the settings tab to configure the model parameters. You can choose preset configurations, adjust tool settings, choose prompt formats, and even set system Prompts. Make any desired changes and close the settings tab to proceed with the chat.
Chatting with the Assistant
Now comes the exciting part – chatting with your AI assistant! In the chat tab, simply input any message or question and wait for the assistant's response. You can have dynamic conversations, generate joke responses, and even create long responses. You can also export the chat as a screenshot for reference.
Sending Messages
To communicate with your assistant, enter your messages in the chat box. The AI will respond accordingly, providing useful assistance.
Exporting Chat Screenshots
If you want to capture a screenshot of a chat conversation, simply click the "Export as Screenshot" option. This allows you to save a visual reference of the chat.
Regenerating Responses
If you are not satisfied with a particular response, you can click the "Regenerate" tab to request a new response. This allows you to fine-tune the AI's output according to your preferences.
Using LM Studio as a Developer
LM Studio is not just for creating chat interfaces; it also offers developer-friendly features for building LLM applications.
Starting an Inference Server
In the "This Server" tab, you can start your local inference server and connect it with your LLM application. This allows you to use the chat interface without an API key, making it convenient for developers.
Connecting with LLM Application
By selecting a port and starting the server, you can connect your LLM application to the local inference server. This seamless integration enables you to leverage the power of LM Studio in your own applications.
Checking Model Files and Folders
If you need to access or manage your LLM files and folders, you can do so in the folder tab. This tab provides a directory view of all your model files, allowing you to easily navigate and make changes.
Deleting Models or Files
Should the need arise, you can delete specific models or files directly from the folder tab. This feature ensures a hassle-free cleaning process, allowing you to remove unwanted models or files with just a single click.
Conclusion
Congratulations! You have successfully created your very own offline chat GPT using LM Studio. This opens up a world of AI-powered conversations, all without the need for an open AI API key. Feel free to experiment, customize, and explore the possibilities of AI chatbots. Don't forget to like this tutorial if you found it helpful and share your thoughts and experiences in the comments below. Subscribe to Auto GPT Tutorials for more exciting AI adventures.
Highlights:
- Create your own offline chat GPT without an open AI API key.
- Unlock the secrets to crafting your very own chat GPT for free.
- No coding experience required, just a passion for AI.
- Download and install LM Studio for easy model management.
- Download large language models from Hugging Face.
- Configure the AI chat interface and set model parameters.
- Interact with your assistant through chat messages.
- Export chat screenshots and regenerate responses.
- Use LM Studio as a developer for LLM applications.
- Start an inference server and connect with your LLM application.
- Check and manage model files and folders.
- Delete models or files with ease.
FAQ:
Q: Can I use LM Studio offline?
A: Yes, LM Studio allows you to run language models entirely offline on your laptop.
Q: Is LM Studio compatible with all Hugging Face models?
A: Yes, LM Studio supports all open-source Hugging Face models, making it a versatile tool for building AI applications.
Q: Do I need coding experience to use LM Studio?
A: No, LM Studio is designed to be user-friendly and does not require any coding experience. It provides a simplified interface for managing language models.
Q: Can I customize the prompts and responses of the AI assistant?
A: Yes, LM Studio allows you to adjust model parameters, including prompt formats and system prompts, giving you control over the assistant's behavior.
Q: Can I use LM Studio as a standalone chat interface without an API key?
A: Yes, you can use LM Studio's AI chat interface without the need for an API key. It enables offline chat interactions with the language model you have downloaded.
Q: Is it possible to use LM Studio for LLM applications?
A: Absolutely! LM Studio offers developer-friendly features, such as starting an inference server and connecting it with your LLM application.
Q: Can I delete unwanted models or files from LM Studio?
A: Yes, LM Studio provides a simple process for deleting specific models or files. You can manage your model files and folders directly from the software interface.