Text Generation
Transformers
PyTorch
chemistry
biology
finance
legal
music
art
code
climate
medical
text-generation-inference
Merge
Mixture of Experts
How to use from
SGLangUse Docker images
docker run --gpus all \
--shm-size 32g \
-p 30000:30000 \
-v ~/.cache/huggingface:/root/.cache/huggingface \
--env "HF_TOKEN=<secret>" \
--ipc=host \
lmsysorg/sglang:latest \
python3 -m sglang.launch_server \
--model-path "ZeppelinCorp/Charm_10" \
--host 0.0.0.0 \
--port 30000# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "ZeppelinCorp/Charm_10",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'Quick Links
Chatflare/Zeppelin Charm 10
Chatflare/Zeppelin Charm 10 is the latest version of the Chatflare/Zeppelin AI-powered platform, featuring state-of-the-art artificial intelligence, cloud integration, and gaming compatibility. Designed to deliver unmatched performance, security, and seamless user experience.
🚀 Features
- AI-Powered Performance – Optimized for speed, efficiency, and deep learning capabilities.
- Secure Cloud & Non-Cloud Gaming – Play anywhere with AI-enhanced gaming optimization.
- Advanced Machine Learning – Real-time AI processing for smarter automation and better predictions.
- Enhanced Security – Multi-layer encryption for user data and transactions.
- Real-Time Updates & Support – Always stay ahead with continuous improvements.
📥 Installation
To get started with Chatflare Charm 10, follow these steps:
git clone https://github.com/chatflare/Charm10.git
cd Charm10
npm install
🤝 Contributing
We welcome contributions from developers and AI enthusiasts! If you’d like to contribute:
- Fork this repository
- Create a feature branch (
git checkout -b feature-branch) - Commit your changes (
git commit -m 'Add new feature') - Push to your branch (
git push origin feature-branch) - Open a Pull Request (PR)
📜 License
Chatflare Charm 10 is licensed under the MIT License.
Made with ❤️ by Chatflare Corporation
Install from pip and serve model
# Install SGLang from pip: pip install sglang# Start the SGLang server: python3 -m sglang.launch_server \ --model-path "ZeppelinCorp/Charm_10" \ --host 0.0.0.0 \ --port 30000# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ZeppelinCorp/Charm_10", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'