Ai00 Rwkv Server

🚀 RWKV Language Model Server

RWKV is a simple and fast Transformer-based language model that supports GPU acceleration. This project aims to provide a lightweight yet powerful solution suitable for various languages and tasks.

🚀 Quick Start

RWKV is a straightforward and high - speed Transformer - based language model with GPU acceleration support. The project's goal is to offer a lightweight but powerful solution applicable to multiple languages and tasks.

✨ Features

• Multilingual Support: Covers languages including but not limited to English, Chinese, etc.
• GPU Acceleration: Enables faster inference through CUDA support.
• Scalability: Supports language models of different scales.
• Easy Deployment: Comes with detailed installation and usage guides.

💻 Usage Examples

Basic Usage

from rwkv_server import RWKVServer

server = RWKVServer(
    model_path="rwkv-r2-v1-43b-instruct.json",
    device='cuda',
    precision='float16'
)

# Start the server
server.start()

Advanced Usage

import rwkv_server as server

# Initialize the server
rwkv = server.RWKVServer(model_path="rwkv-r2-v1-43b-instruct.json")

# Get model parameters
params = rwkv.get_params()

# Print the model status
print(rwkv.status())

📦 Installation

Install Dependencies

pip install rwkv-server

Run the Server

python -m rwkv_server.run --model_path rwkv-r2-v1-43b-instruct.json --device cuda --precision float16

📚 Documentation

Supported Formats

RWKV language model supports the following file formats:

• .json
• .bin
• .txt

👥 Contributors

Thanks to the following individuals and organizations for their contributions to the project:

⭐ Star Statistics