Instructions to use Azurro/APT3-500M-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Azurro/APT3-500M-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Azurro/APT3-500M-Base")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Azurro/APT3-500M-Base") model = AutoModelForCausalLM.from_pretrained("Azurro/APT3-500M-Base") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Azurro/APT3-500M-Base with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Azurro/APT3-500M-Base" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Azurro/APT3-500M-Base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Azurro/APT3-500M-Base
- SGLang
How to use Azurro/APT3-500M-Base 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 "Azurro/APT3-500M-Base" \ --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": "Azurro/APT3-500M-Base", "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 "Azurro/APT3-500M-Base" \ --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": "Azurro/APT3-500M-Base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Azurro/APT3-500M-Base with Docker Model Runner:
docker model run hf.co/Azurro/APT3-500M-Base
License
Could you please provide more detailed information about the license under which the model is distributed? Specifically, I am interested in understanding any restrictions or obligations that might apply, such as attribution requirements or limitations for commercial use.
There is a license section on the model card:
Because of an unclear legal situation, we have decided to publish the model under CC BY NC 4.0 license - it allows for non-commercial use. The model can be used for scientific purposes and privately, as long as the license conditions are met.
In summary, the model is designed for research and private use. It is not available for commercial use due to uncertain legal circumstances. In discussing a specific case, I encourage you to reach out directly via HF or on LinkedIn.