Instructions to use recursal/radlads-7b-various with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use recursal/radlads-7b-various with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="recursal/radlads-7b-various")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("recursal/radlads-7b-various", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use recursal/radlads-7b-various with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "recursal/radlads-7b-various" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "recursal/radlads-7b-various", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/recursal/radlads-7b-various
- SGLang
How to use recursal/radlads-7b-various 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 "recursal/radlads-7b-various" \ --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": "recursal/radlads-7b-various", "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 "recursal/radlads-7b-various" \ --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": "recursal/radlads-7b-various", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use recursal/radlads-7b-various with Docker Model Runner:
docker model run hf.co/recursal/radlads-7b-various
Improve model card: remove incorrect project page, add usage and citation
#5
by nielsr HF Staff - opened
This PR improves the model card for the RADLADS ablation models by:
- Removing the incorrect
project_pageentry from the YAML metadata, as the provided URL does not correspond to this project. - Adding a "Usage" section, providing guidance on how to work with the model checkpoints available in this repository, including the need for conversion and referring users to the main GitHub repository for detailed instructions or the Recursal collection for pre-converted models.
- Including a "Citation" section with the relevant BibTeX entry from the paper.
Merged.
KaraKaraWitch changed pull request status to merged