Instructions to use medagent/MedExAgent-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use medagent/MedExAgent-8B with Transformers:

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

pipe = pipeline("text-generation", model="medagent/MedExAgent-8B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("medagent/MedExAgent-8B")
model = AutoModelForCausalLM.from_pretrained("medagent/MedExAgent-8B", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use medagent/MedExAgent-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "medagent/MedExAgent-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "medagent/MedExAgent-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/medagent/MedExAgent-8B

SGLang

How to use medagent/MedExAgent-8B 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 "medagent/MedExAgent-8B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "medagent/MedExAgent-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "medagent/MedExAgent-8B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "medagent/MedExAgent-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use medagent/MedExAgent-8B with Docker Model Runner:
```
docker model run hf.co/medagent/MedExAgent-8B
```

MedExAgent-8B / README.md

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---
library_name: transformers
pipeline_tag: text-generation
tags:
- medical
- clinical-ai
- diagnosis
- reinforcement-learning
- medagent
extra_gated_prompt: MedExAgent-8B is a research model for studying medical-agent behavior
  in simulated diagnostic conversations. It may ask follow-up questions, request simulated
  examination or test information, and produce diagnostic reasoning or differential-diagnosis
  style outputs. It is not a medical device, has not been validated for clinical deployment,
  and may generate incomplete, incorrect, or unsafe medical information. By requesting
  access, you agree that you will not use this model for clinical care, diagnosis,
  treatment decisions, emergency triage, patient management, or any other real-world
  medical decision-making. You are solely responsible for any research use and for
  complying with all applicable laws, institutional policies, and safety review requirements.
extra_gated_fields:
  Full name: text
  Organization or affiliation: text
  Intended research use: text
  ? I understand this model is for research only and must not be used for clinical
    care, diagnosis, treatment decisions, emergency triage, patient management, or
    other real-world medical decision-making
  : checkbox
  ? I understand the model may produce inaccurate or unsafe medical information and
    that I am responsible for evaluating its outputs before any research use
  : checkbox
extra_gated_button_content: Agree and request access
extra_gated_heading: Research-use acknowledgement required
extra_gated_description: Access requires agreement to the research-only and no-clinical-use
  terms below.
base_model: OpenMeditron/Meditron3-8B
license: llama3.1
---
# MedExAgent-8B

Paper: https://arxiv.org/abs/2605.07058

## Citation

```bibtex
@misc{gao2026medexagenttrainingllmagents,
      title={MedExAgent: Training LLM Agents to Ask, Examine, and Diagnose in Noisy Clinical Environments}, 
      author={Yicheng Gao and Xiaolin Zhou and Yahan Li and Yue Zhao and Ruishan Liu},
      year={2026},
      eprint={2605.07058},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2605.07058}, 
}
```

MedExAgent-8B is a research language model for medical-agent experiments. It is intended to study how an AI agent can conduct simulated diagnostic interactions: asking relevant follow-up questions, requesting available simulated examinations or tests, integrating noisy patient information, and producing diagnostic reasoning or differential-diagnosis style responses.

The model is designed for controlled research and evaluation workflows, not for use with real patients. It may be useful for experiments involving simulated patient conversations, diagnostic reasoning benchmarks, medical-agent tool-use studies, and robustness analysis under noisy clinical communication settings.

## Intended Use

Use this model only for research, benchmarking, and development in controlled non-clinical environments. Outputs should be treated as unverified model-generated text and independently evaluated by qualified reviewers when relevant.

## Clinical Use Disclaimer

This model must not be used for clinical care, diagnosis, treatment decisions, emergency triage, patient management, or any other real-world medical decision-making. It is not a medical device, has not been clinically validated, and may generate incomplete, incorrect, misleading, or unsafe medical information.

By requesting access to this model, you acknowledge and agree that the model is for research use only and that you will not use it in clinical or patient-facing settings.

## License

Built with Llama.

MedExAgent-8B is finetuned from [Meditron3-8B](https://huggingface.co/OpenMeditron/Meditron3-8B), which is finetuned from Llama-3.1-8B-Instruct. It is released under the [Llama 3.1 Community License](LICENSE) and subject to the [Llama 3.1 Acceptable Use Policy](https://llama.meta.com/llama3_1/use-policy). Llama 3.1 is licensed under the Llama 3.1 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.

	---
	library_name: transformers
	pipeline_tag: text-generation
	tags:
	- medical
	- clinical-ai
	- diagnosis
	- reinforcement-learning
	- medagent
	extra_gated_prompt: MedExAgent-8B is a research model for studying medical-agent behavior
	in simulated diagnostic conversations. It may ask follow-up questions, request simulated
	examination or test information, and produce diagnostic reasoning or differential-diagnosis
	style outputs. It is not a medical device, has not been validated for clinical deployment,
	and may generate incomplete, incorrect, or unsafe medical information. By requesting
	access, you agree that you will not use this model for clinical care, diagnosis,
	treatment decisions, emergency triage, patient management, or any other real-world
	medical decision-making. You are solely responsible for any research use and for
	complying with all applicable laws, institutional policies, and safety review requirements.
	extra_gated_fields:
	Full name: text
	Organization or affiliation: text
	Intended research use: text
	? I understand this model is for research only and must not be used for clinical
	care, diagnosis, treatment decisions, emergency triage, patient management, or
	other real-world medical decision-making
	: checkbox
	? I understand the model may produce inaccurate or unsafe medical information and
	that I am responsible for evaluating its outputs before any research use
	: checkbox
	extra_gated_button_content: Agree and request access
	extra_gated_heading: Research-use acknowledgement required
	extra_gated_description: Access requires agreement to the research-only and no-clinical-use
	terms below.
	base_model: OpenMeditron/Meditron3-8B
	license: llama3.1
	---

	# MedExAgent-8B

	Paper: https://arxiv.org/abs/2605.07058

	## Citation

	```bibtex
	@misc{gao2026medexagenttrainingllmagents,
	title={MedExAgent: Training LLM Agents to Ask, Examine, and Diagnose in Noisy Clinical Environments},
	author={Yicheng Gao and Xiaolin Zhou and Yahan Li and Yue Zhao and Ruishan Liu},
	year={2026},
	eprint={2605.07058},
	archivePrefix={arXiv},
	primaryClass={cs.CL},
	url={https://arxiv.org/abs/2605.07058},
	}
	```

	MedExAgent-8B is a research language model for medical-agent experiments. It is intended to study how an AI agent can conduct simulated diagnostic interactions: asking relevant follow-up questions, requesting available simulated examinations or tests, integrating noisy patient information, and producing diagnostic reasoning or differential-diagnosis style responses.

	The model is designed for controlled research and evaluation workflows, not for use with real patients. It may be useful for experiments involving simulated patient conversations, diagnostic reasoning benchmarks, medical-agent tool-use studies, and robustness analysis under noisy clinical communication settings.

	## Intended Use

	Use this model only for research, benchmarking, and development in controlled non-clinical environments. Outputs should be treated as unverified model-generated text and independently evaluated by qualified reviewers when relevant.

	## Clinical Use Disclaimer

	This model must not be used for clinical care, diagnosis, treatment decisions, emergency triage, patient management, or any other real-world medical decision-making. It is not a medical device, has not been clinically validated, and may generate incomplete, incorrect, misleading, or unsafe medical information.

	By requesting access to this model, you acknowledge and agree that the model is for research use only and that you will not use it in clinical or patient-facing settings.

	## License

	Built with Llama.

	MedExAgent-8B is finetuned from [Meditron3-8B](https://huggingface.co/OpenMeditron/Meditron3-8B), which is finetuned from Llama-3.1-8B-Instruct. It is released under the [Llama 3.1 Community License](LICENSE) and subject to the [Llama 3.1 Acceptable Use Policy](https://llama.meta.com/llama3_1/use-policy). Llama 3.1 is licensed under the Llama 3.1 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.