Instructions to use cemde/Domain-Certification-MedQA-Guide-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cemde/Domain-Certification-MedQA-Guide-Base with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="cemde/Domain-Certification-MedQA-Guide-Base")

# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("cemde/Domain-Certification-MedQA-Guide-Base")
model = AutoModel.from_pretrained("cemde/Domain-Certification-MedQA-Guide-Base")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use cemde/Domain-Certification-MedQA-Guide-Base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cemde/Domain-Certification-MedQA-Guide-Base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cemde/Domain-Certification-MedQA-Guide-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/cemde/Domain-Certification-MedQA-Guide-Base

SGLang

How to use cemde/Domain-Certification-MedQA-Guide-Base 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 "cemde/Domain-Certification-MedQA-Guide-Base" \
    --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": "cemde/Domain-Certification-MedQA-Guide-Base",
		"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 "cemde/Domain-Certification-MedQA-Guide-Base" \
        --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": "cemde/Domain-Certification-MedQA-Guide-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use cemde/Domain-Certification-MedQA-Guide-Base with Docker Model Runner:
```
docker model run hf.co/cemde/Domain-Certification-MedQA-Guide-Base
```

Shh, don't say that! Domain Certification in LLMs

Collection: https://huggingface.co/collections/cemde/domain-certification-67ba4fb663f8d1348c3c2263

Certify you Large Language Model (LLM)!

With the code in this repository you can reproduce the workflows we use in our ICLR 2025 paper to achieve Domain Certification using our VALID algorithm.

We provide the guide models for our Medical Question Answering experiments.

Model	Description
cemde/Domain-Certification-MedQA-Guide-Base	This is the base model trained on the ground-truth responses.
cemde/Domain-Certification-MedQA-Guide-Finetuned	This is the model trained on responses from Llama-3-8B.

Citation

@inproceedings{
emde2025shh,
title={Shh, don't say that! Domain Certification in {LLM}s},
author={Cornelius Emde and Alasdair Paren and Preetham Arvind and Maxime Guillaume Kayser and Tom Rainforth and Bernard Ghanem and Thomas Lukasiewicz and Philip Torr and Adel Bibi},
booktitle={The Thirteenth International Conference on Learning Representations},
year={2025},
url={https://arxiv.org/abs/2502.19320}
}

Downloads last month: 3

Safetensors

Model size

0.2B params

Tensor type

F32

Dataset used to train cemde/Domain-Certification-MedQA-Guide-Base

Collection including cemde/Domain-Certification-MedQA-Guide-Base

Domain Certification

Collection

Here you can find the artifacts for the Domain Certification paper ICLR 2025 here. • 3 items • Updated Aug 7, 2025

Paper for cemde/Domain-Certification-MedQA-Guide-Base

Shh, don't say that! Domain Certification in LLMs

Paper • 2502.19320 • Published Feb 26, 2025