Instructions to use petals-team/StableBeluga2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use petals-team/StableBeluga2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="petals-team/StableBeluga2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("petals-team/StableBeluga2") model = AutoModelForCausalLM.from_pretrained("petals-team/StableBeluga2") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use petals-team/StableBeluga2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "petals-team/StableBeluga2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "petals-team/StableBeluga2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/petals-team/StableBeluga2
- SGLang
How to use petals-team/StableBeluga2 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 "petals-team/StableBeluga2" \ --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": "petals-team/StableBeluga2", "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 "petals-team/StableBeluga2" \ --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": "petals-team/StableBeluga2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use petals-team/StableBeluga2 with Docker Model Runner:
docker model run hf.co/petals-team/StableBeluga2
Commit History
Add missing tokenizer files 6c06ad7
Explain changes and their meaning for Petals 0cc4f70
Minimize diff with original configs 69185c0
Upload resharded weights 5a20760
Delete old shards 019b4d8
Use original readme + changelog 42a755a
Copy licenses from the original repo 205cb82
:x 210a573
add json files 1116dd6
update dht prefix f3703b0
add bf16 bin weight file 76303f9
add weight files 7a3f408
add dht prefix in config 335cdc1
add weight file 0c28311
Merge branch 'main' of https://huggingface.co/j879/StableBeluga2-bf16 e428330
add json files 2e7dcd0
j879 commited on