Instructions to use inclusionAI/Ring-1T with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inclusionAI/Ring-1T with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="inclusionAI/Ring-1T", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("inclusionAI/Ring-1T", trust_remote_code=True, dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use inclusionAI/Ring-1T with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "inclusionAI/Ring-1T" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "inclusionAI/Ring-1T", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/inclusionAI/Ring-1T
- SGLang
How to use inclusionAI/Ring-1T 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 "inclusionAI/Ring-1T" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "inclusionAI/Ring-1T", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "inclusionAI/Ring-1T" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "inclusionAI/Ring-1T", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use inclusionAI/Ring-1T with Docker Model Runner:
docker model run hf.co/inclusionAI/Ring-1T
System incorrectly named Ling 1T
The system said their name is Ling 1T when it is Ring 1T, on Zenmux.ai
Ring? Ling? What does it even mean anymore? Does it mean anything anymore?
Thank you for your attention. Ling is the official English name of both Ling-1T and Ring-1T.
Thank you for your attention. Ling is the official English name of both Ling-1T and Ring-1T.
Bro installed Ling. I've GYAT to see that, standardizing nomenclature in 2025 is crazy. "Official English name" ahh sentence. Bro is namemaxxing. We got bro confirming the name before the sequel💀. Bro thinks he's the naming committee😭🙏. Bro MIGHT be the official source‼️🙏. I went to a standardization town and everyone knew you. Bro done fanum taxed his own acronyms😭🙏. Official naming won't pay da bills😭🙏. When I'm in a nomenclature competition and my opponent is you (I'm cooked). Ling is so real. The Ling glazing is crazy💀🙏. Lingcore goes hard NGL💯🙏. If you're using the official name, consider yourself an opp😭🙏.
Thank you for your attention. Ling is the official English name of both Ling-1T and Ring-1T.
Are there any links between Theta Labs (Tbox) and you? If not, are you gonna provide any official inference options of yourself or work with providers to make it happen? I highly doubt people are gonna migrate to ZenMux just to be able to use these obscure providers offering usable access to Ring-1T.