Text Generation
Transformers
Safetensors
PyTorch
English
aro_babylm
causal-lm
custom-code
babylm
babylm-2026
small-language-model
custom_code
Instructions to use AwakeningOS/ARO-BabyLM-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AwakeningOS/ARO-BabyLM-1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="AwakeningOS/ARO-BabyLM-1B", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("AwakeningOS/ARO-BabyLM-1B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use AwakeningOS/ARO-BabyLM-1B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "AwakeningOS/ARO-BabyLM-1B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AwakeningOS/ARO-BabyLM-1B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/AwakeningOS/ARO-BabyLM-1B
- SGLang
How to use AwakeningOS/ARO-BabyLM-1B 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 "AwakeningOS/ARO-BabyLM-1B" \ --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": "AwakeningOS/ARO-BabyLM-1B", "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 "AwakeningOS/ARO-BabyLM-1B" \ --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": "AwakeningOS/ARO-BabyLM-1B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use AwakeningOS/ARO-BabyLM-1B with Docker Model Runner:
docker model run hf.co/AwakeningOS/ARO-BabyLM-1B
Commit History
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Define ARO at first mention in English and Japanese model cards
Verified signatureExpand ARO as Asymmetric Relational Operator and explain the technical meaning of each term before introducing the design philosophy.7463e99 -
Adopt Apache License 2.0
Verified signature22f0c86 -
Publish ARO-BabyLM-1B model, tokenizer, architecture, and verified documentation
Verified signature37781fe -
initial commit
Verified signaturec3dd55b