Instructions to use pansophic/rocket-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pansophic/rocket-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="pansophic/rocket-3B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("pansophic/rocket-3B") model = AutoModelForCausalLM.from_pretrained("pansophic/rocket-3B") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use pansophic/rocket-3B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "pansophic/rocket-3B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "pansophic/rocket-3B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/pansophic/rocket-3B
- SGLang
How to use pansophic/rocket-3B 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 "pansophic/rocket-3B" \ --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": "pansophic/rocket-3B", "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 "pansophic/rocket-3B" \ --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": "pansophic/rocket-3B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use pansophic/rocket-3B with Docker Model Runner:
docker model run hf.co/pansophic/rocket-3B
Plans to add your model to the Open LLM Leaderboard?
#6
by ThiloteE - opened
I cannot find it there (https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). If the evaluation results you posted are correct, you would be at the top of the leaderboard for 3B models, beating second place with a large margin ;-)
Hi! Unfortunately, the StableLM class is not present by default in transformers library, so it uses custom code.
ATM, afaik, it is not possible to submit the model if it uses custom code.
Ah, thanks for the explanation.
pansophic changed discussion status to closed