An advanced AI system built on top of the DeepSeek model framework.

Ling Ling Model

Welcome to the core repository of the Ling Ling Model, an advanced AI system built on top of the DeepSeek model framework. Ling Ling is designed to provide bilingual responses in English and Chinese, leveraging DeepSeek's powerful language understanding and generation capabilities!

Overview

The Ling Ling Model is crafted for:

• Bilingual Communication: Respond in both English (en) and Chinese (zh).
• Twitter Integration: Designed to interact with tweets and social media content.
• Solana Blockchain Interaction: Basic blockchain functionalities to explore decentralized applications.

Features

• Language Generation: Generate coherent text based on input prompts.
• Language Detection: Automatically detect if the query is in English or Chinese.
• Translation: Simple translation methods for switching between languages (placeholder for now).
• Model Fine-Tuning: Capabilities to adapt the DeepSeek model for specific use cases.

Installation

To get started with LingLing-Core, you'll need Python 3.8+ and pip. Run:

pip install -r requirements.txt

Or for development:

pip install -e .

Basic Usage:

from lingling.model.ling_ling import LingLingModel

model = LingLingModel()
response = model.generate("Hello, how are you?", language='en')
print(response)  # Prints a generated response in English

response_zh = model.generate("你好，你好吗？", language='zh')
print(response_zh)  # Prints a generated response in Chinese

To fine-tune the model for your specific dataset:

from lingling.model.deepseek_adapter import DeepSeekAdapter

adapter = DeepSeekAdapter()
adapter.fine_tune(your_dataset_here)

Project Structure lingling/: Contains the main Python modules: model/: Core model implementation and DeepSeek adaptations. services/: Service layers for