mirror of
https://github.com/ParisNeo/lollms.git
synced 2024-12-29 17:08:53 +00:00
304 lines
11 KiB
Markdown
304 lines
11 KiB
Markdown
# Lord of Large Language Models (LoLLMs)
|
|
<div align="center">
|
|
<img src="https://github.com/ParisNeo/lollms/blob/main/lollms/assets/logo.png" alt="Logo" width="200" height="200">
|
|
</div>
|
|
|
|
|
|
|
|
|
|
|
|
[](https://discord.gg/4rR282WJb6)
|
|
[](https://twitter.com/SpaceNerduino)
|
|
[](https://www.youtube.com/user/Parisneo)
|
|
[](https://pepy.tech/project/lollms)
|
|
[](https://pepy.tech/project/lollms)
|
|
[](https://pepy.tech/project/lollms)
|
|
|
|
Lord of Large Language Models (LoLLMs) Server is a text generation server based on large language models. It provides a Flask-based API for generating text using various pre-trained language models. This server is designed to be easy to install and use, allowing developers to integrate powerful text generation capabilities into their applications.
|
|
|
|
## Features
|
|
|
|
- Fully integrated library with access to bindings, personalities and helper tools.
|
|
- Generate text using large language models.
|
|
- Supports multiple personalities for generating text with different styles and tones.
|
|
- Real-time text generation with WebSocket-based communication.
|
|
- RESTful API for listing personalities and adding new personalities.
|
|
- Easy integration with various applications and frameworks.
|
|
- Possibility to send files to personalities
|
|
- Possibility to run on multiple nodes and provide a generation service to many outputs at once.
|
|
- Data stays local even in the remote version. Only generations are sent to the host node. The logs, data and discussion history are kept in your local disucssion folder.
|
|
|
|
## Installation
|
|
|
|
You can install LoLLMs using pip, the Python package manager. Open your terminal or command prompt and run the following command:
|
|
|
|
```bash
|
|
pip install --upgrade lollms
|
|
```
|
|
|
|
Or if you want to get the latest version from the git:
|
|
|
|
```bash
|
|
pip install --upgrade git+https://github.com/ParisNeo/lollms.git
|
|
```
|
|
|
|
## GPU support
|
|
If you want to use cuda. Either install it directly or use conda to install everything:
|
|
```bash
|
|
conda create --name lollms python=3.10
|
|
```
|
|
Activate the environment
|
|
|
|
```bash
|
|
conda activate lollms
|
|
```
|
|
|
|
Install cudatoolkit
|
|
|
|
```bash
|
|
conda install -c anaconda cudatoolkit
|
|
```
|
|
|
|
Install lollms
|
|
|
|
```bash
|
|
pip install --upgrade lollms
|
|
```
|
|
|
|
Now you are ready.
|
|
|
|
To simply configure your environment run the settings app:
|
|
|
|
```bash
|
|
lollms-settings
|
|
```
|
|
|
|
The tool is intuitive and will guide you through configuration process.
|
|
|
|
|
|
The first time you will be prompted to select a binding.
|
|
|
|
|
|
Once the binding is selected, you have to install at least a model. You have two options:
|
|
|
|
1- install from internet. Just give the link to a model on hugging face. For example. if you select the default llamacpp python bindings (7), you can install this model:
|
|
```bash
|
|
https://huggingface.co/TheBloke/airoboros-7b-gpt4-GGML/resolve/main/airoboros-7b-gpt4.ggmlv3.q4_1.bin
|
|
```
|
|
2- install from local drive. Just give the path to a model on your pc. The model will not be copied. We only create a reference to the model. This is useful if you use multiple clients so that you can mutualize your models with other tools.
|
|
|
|
|
|
Now you are ready to use the server.
|
|
|
|
## Library example
|
|
|
|
Here is the smallest possible example that allows you to use the full potential of the tool with nearly no code
|
|
```python
|
|
from lollms.console import Conversation
|
|
|
|
cv = Conversation(None)
|
|
cv.start_conversation()
|
|
```
|
|
Now you can reimplement the start_conversation method to do the things you want:
|
|
```python
|
|
from lollms.console import Conversation
|
|
|
|
class MyConversation(Conversation):
|
|
def __init__(self, cfg=None):
|
|
super().__init__(cfg, show_welcome_message=False)
|
|
|
|
def start_conversation(self):
|
|
prompt = "Once apon a time"
|
|
def callback(text, type=None):
|
|
print(text, end="", flush=True)
|
|
return True
|
|
print(prompt, end="", flush=True)
|
|
output = self.safe_generate(prompt, callback=callback)
|
|
|
|
if __name__ == '__main__':
|
|
cv = MyConversation()
|
|
cv.start_conversation()
|
|
```
|
|
|
|
Or if you want here is a conversation tool written in few lines
|
|
```python
|
|
from lollms.console import Conversation
|
|
|
|
class MyConversation(Conversation):
|
|
def __init__(self, cfg=None):
|
|
super().__init__(cfg, show_welcome_message=False)
|
|
|
|
def start_conversation(self):
|
|
full_discussion=""
|
|
while True:
|
|
prompt = input("You: ")
|
|
if prompt=="exit":
|
|
return
|
|
if prompt=="menu":
|
|
self.menu.main_menu()
|
|
full_discussion += self.personality.user_message_prefix+prompt+self.personality.link_text
|
|
full_discussion += self.personality.ai_message_prefix
|
|
def callback(text, type=None):
|
|
print(text, end="", flush=True)
|
|
return True
|
|
print(self.personality.name+": ",end="",flush=True)
|
|
output = self.safe_generate(full_discussion, callback=callback)
|
|
full_discussion += output.strip()+self.personality.link_text
|
|
print()
|
|
|
|
if __name__ == '__main__':
|
|
cv = MyConversation()
|
|
cv.start_conversation()
|
|
```
|
|
Here we use the safe_generate method that does all the cropping for you ,so you can chat forever and will never run out of context.
|
|
|
|
## Socket IO Server Usage
|
|
|
|
Once installed, you can start the LoLLMs Server using the `lollms-server` command followed by the desired parameters.
|
|
|
|
```
|
|
lollms-server --host <host> --port <port> --config <config_file> --bindings_path <bindings_path> --personalities_path <personalities_path> --models_path <models_path> --binding_name <binding_name> --model_name <model_name> --personality_full_name <personality_full_name>
|
|
```
|
|
|
|
### Parameters
|
|
|
|
- `--host`: The hostname or IP address to bind the server (default: localhost).
|
|
- `--port`: The port number to run the server (default: 9600).
|
|
- `--config`: Path to the configuration file (default: None).
|
|
- `--bindings_path`: The path to the Bindings folder (default: "./bindings_zoo").
|
|
- `--personalities_path`: The path to the personalities folder (default: "./personalities_zoo").
|
|
- `--models_path`: The path to the models folder (default: "./models").
|
|
- `--binding_name`: The default binding to be used (default: "llama_cpp_official").
|
|
- `--model_name`: The default model name (default: "Manticore-13B.ggmlv3.q4_0.bin").
|
|
- `--personality_full_name`: The full name of the default personality (default: "personality").
|
|
|
|
### Examples
|
|
|
|
Start the server with default settings:
|
|
|
|
```
|
|
lollms-server
|
|
```
|
|
|
|
Start the server on a specific host and port:
|
|
|
|
```
|
|
lollms-server --host 0.0.0.0 --port 5000
|
|
```
|
|
## API Endpoints
|
|
|
|
### WebSocket Events
|
|
|
|
- `connect`: Triggered when a client connects to the server.
|
|
- `disconnect`: Triggered when a client disconnects from the server.
|
|
- `list_personalities`: List all available personalities.
|
|
- `add_personality`: Add a new personality to the server.
|
|
- `generate_text`: Generate text based on the provided prompt and selected personality.
|
|
|
|
### RESTful API
|
|
|
|
- `GET /personalities`: List all available personalities.
|
|
- `POST /personalities`: Add a new personality to the server.
|
|
|
|
Sure! Here are examples of how to communicate with the LoLLMs Server using JavaScript and Python.
|
|
|
|
### JavaScript Example
|
|
|
|
```javascript
|
|
// Establish a WebSocket connection with the server
|
|
const socket = io.connect('http://localhost:9600');
|
|
|
|
// Event: When connected to the server
|
|
socket.on('connect', () => {
|
|
console.log('Connected to the server');
|
|
|
|
// Request the list of available personalities
|
|
socket.emit('list_personalities');
|
|
});
|
|
|
|
// Event: Receive the list of personalities from the server
|
|
socket.on('personalities_list', (data) => {
|
|
const personalities = data.personalities;
|
|
console.log('Available Personalities:', personalities);
|
|
|
|
// Select a personality and send a text generation request
|
|
const selectedPersonality = personalities[0];
|
|
const prompt = 'Once upon a time...';
|
|
socket.emit('generate_text', { personality: selectedPersonality, prompt: prompt });
|
|
});
|
|
|
|
// Event: Receive the generated text from the server
|
|
socket.on('text_generated', (data) => {
|
|
const generatedText = data.text;
|
|
console.log('Generated Text:', generatedText);
|
|
|
|
// Do something with the generated text
|
|
});
|
|
|
|
// Event: When disconnected from the server
|
|
socket.on('disconnect', () => {
|
|
console.log('Disconnected from the server');
|
|
});
|
|
```
|
|
|
|
### Python Example
|
|
|
|
```python
|
|
import socketio
|
|
|
|
# Create a SocketIO client
|
|
sio = socketio.Client()
|
|
|
|
# Event: When connected to the server
|
|
@sio.on('connect')
|
|
def on_connect():
|
|
print('Connected to the server')
|
|
|
|
# Request the list of available personalities
|
|
sio.emit('list_personalities')
|
|
|
|
# Event: Receive the list of personalities from the server
|
|
@sio.on('personalities_list')
|
|
def on_personalities_list(data):
|
|
personalities = data['personalities']
|
|
print('Available Personalities:', personalities)
|
|
|
|
# Select a personality and send a text generation request
|
|
selected_personality = personalities[0]
|
|
prompt = 'Once upon a time...'
|
|
sio.emit('generate_text', {'personality': selected_personality, 'prompt': prompt})
|
|
|
|
# Event: Receive the generated text from the server
|
|
@sio.on('text_generated')
|
|
def on_text_generated(data):
|
|
generated_text = data['text']
|
|
print('Generated Text:', generated_text)
|
|
|
|
# Do something with the generated text
|
|
|
|
# Event: When disconnected from the server
|
|
@sio.on('disconnect')
|
|
def on_disconnect():
|
|
print('Disconnected from the server')
|
|
|
|
# Connect to the server
|
|
sio.connect('http://localhost:9600')
|
|
|
|
# Keep the client running
|
|
sio.wait()
|
|
```
|
|
|
|
Make sure to have the necessary dependencies installed for the JavaScript and Python examples. For JavaScript, you need the `socket.io-client` package, and for Python, you need the `python-socketio` package.
|
|
|
|
## Contributing
|
|
|
|
Contributions to the LoLLMs Server project are welcome and appreciated. If you would like to contribute, please follow the guidelines outlined in the [CONTRIBUTING.md](https://github.com/ParisNeo/lollms/blob/main/CONTRIBUTING.md) file.
|
|
|
|
## License
|
|
|
|
LoLLMs Server is licensed under the Apache 2.0 License. See the [LICENSE](https://github.com/ParisNeo/lollms/blob/main/LICENSE) file for more information.
|
|
|
|
## Repository
|
|
|
|
The source code for LoLLMs Server can be found on GitHub
|