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 Settings
- 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
Finetune mistral?
#2
by bannsec - opened
It's unclear to me why this model is (in theory?) outperforming expectations. Mistral seems to be the current champ of that so i'd be curious if you could replicate these advances on a mistral 7b model.
Hello! Yes, that’s the next thing we’ll do
pansophic changed discussion status to closed