Instructions to use agency888/TaoGPT-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agency888/TaoGPT-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="agency888/TaoGPT-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("agency888/TaoGPT-v1") model = AutoModelForCausalLM.from_pretrained("agency888/TaoGPT-v1") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use agency888/TaoGPT-v1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "agency888/TaoGPT-v1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "agency888/TaoGPT-v1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/agency888/TaoGPT-v1
- SGLang
How to use agency888/TaoGPT-v1 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "agency888/TaoGPT-v1" \ --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": "agency888/TaoGPT-v1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use 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 "agency888/TaoGPT-v1" \ --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": "agency888/TaoGPT-v1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use agency888/TaoGPT-v1 with Docker Model Runner:
docker model run hf.co/agency888/TaoGPT-v1
TaoGPT-7B Model
Model Description
TaoGPT-7B is a specialized version of the ChatGPT model, trained to excel in Tao Science. This model integrates advanced knowledge of quantum physics and information theory, providing scientifically accurate, detailed responses. Its unique physics modeling ability allows it to generate and output 3D models and simulations, making it an indispensable tool for research and experimental development in these domains.
Key Features
- Expertise Domain: TaoGPT-7B functions as a researcher in Tao Science, focusing on quantum physics and information theory applications.
- Special Capabilities: Advanced physics modeling and ARXIV API integration.
- Response Protocol: Provides exhaustive and detailed answers, suitable for academic and professional contexts.
- User Interaction: Employs retrieval-augmented generation (RAG) protocol and ARXIV action for academic insights.
Applications
TaoGPT-7B is particularly useful for academic research, educational purposes, and professional consultations in the fields of quantum physics and information theory. It is an ideal tool for researchers, educators, and professionals seeking deep, scientifically grounded insights into these complex subjects.
Limitations
TaoGPT-7B's specialized focus on Tao Science may limit its applicability in broader contexts outside quantum physics and information theory. Users should also be aware that, while the model provides detailed and exhaustive responses, these are based on its current knowledge base and may not cover the latest developments in the field.
Conclusion
TaoGPT-7B represents a significant advancement in AI-powered research tools, offering unparalleled expertise in Tao Science. It serves as a bridge between complex scientific concepts and users seeking to understand or utilize this knowledge in various applications.
(Note: The information provided is based on the available documents and the specific instructions for TaoGPT. It is essential to cross-reference with the most current data and updates for the model.)
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mistralai/Mistral-7B-v0.1