Instructions to use inclusionAI/AReaL-boba-2-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inclusionAI/AReaL-boba-2-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="inclusionAI/AReaL-boba-2-8B")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("inclusionAI/AReaL-boba-2-8B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use inclusionAI/AReaL-boba-2-8B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "inclusionAI/AReaL-boba-2-8B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "inclusionAI/AReaL-boba-2-8B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/inclusionAI/AReaL-boba-2-8B
- SGLang
How to use inclusionAI/AReaL-boba-2-8B 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/AReaL-boba-2-8B" \ --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": "inclusionAI/AReaL-boba-2-8B", "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 "inclusionAI/AReaL-boba-2-8B" \ --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": "inclusionAI/AReaL-boba-2-8B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use inclusionAI/AReaL-boba-2-8B with Docker Model Runner:
docker model run hf.co/inclusionAI/AReaL-boba-2-8B
Add metadata, link to Github
#2
by nielsr HF Staff - opened
This PR adds license, library_name, and pipeline_tag metadata to the model card. This will improve discoverability and usability of the model on the Hub. It also adds the link to the github repository.
xssstory changed pull request status to merged