Instructions to use purbeshmitra/vanillaGRPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use purbeshmitra/vanillaGRPO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="purbeshmitra/vanillaGRPO")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("purbeshmitra/vanillaGRPO", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use purbeshmitra/vanillaGRPO with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "purbeshmitra/vanillaGRPO" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "purbeshmitra/vanillaGRPO", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/purbeshmitra/vanillaGRPO
- SGLang
How to use purbeshmitra/vanillaGRPO 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 "purbeshmitra/vanillaGRPO" \ --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": "purbeshmitra/vanillaGRPO", "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 "purbeshmitra/vanillaGRPO" \ --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": "purbeshmitra/vanillaGRPO", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use purbeshmitra/vanillaGRPO with Docker Model Runner:
docker model run hf.co/purbeshmitra/vanillaGRPO
Add pipeline tag and update library_name
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- Adding the
pipeline_tag: text-generationto the metadata, which helps with model discoverability on the Hugging Face Hub and enables the inference widget. - Updating the
library_namefrompefttotransformers. Althoughpeftis used for the adapter,transformersis the primary library for loading and interacting with the base LLM, and this change improves consistency and user experience on the Hub.
purbeshmitra changed pull request status to merged