Instructions to use Merlin-Research/Merlin-Agent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Merlin-Research/Merlin-Agent with Transformers:

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

pipe = pipeline("text-generation", model="Merlin-Research/Merlin-Agent")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Merlin-Research/Merlin-Agent")
model = AutoModelForCausalLM.from_pretrained("Merlin-Research/Merlin-Agent")
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=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Merlin-Research/Merlin-Agent with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Merlin-Research/Merlin-Agent

SGLang

How to use Merlin-Research/Merlin-Agent 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 "Merlin-Research/Merlin-Agent" \
    --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": "Merlin-Research/Merlin-Agent",
		"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 "Merlin-Research/Merlin-Agent" \
        --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": "Merlin-Research/Merlin-Agent",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Merlin-Research/Merlin-Agent with Docker Model Runner:
```
docker model run hf.co/Merlin-Research/Merlin-Agent
```

squ11z1 commited on 3 days ago

Commit

4536ed8

verified ·

1 Parent(s): bdce946

Update README.md

Browse files

Files changed (1) hide show

README.md +2 -12

README.md CHANGED Viewed

@@ -30,17 +30,11 @@ language:
 ![agent](https://cdn-uploads.huggingface.co/production/uploads/67329d3f69fded92d56ab41a/7MWS1MZ0_qPh9H4-YFv5a.jpeg)
 <p align="center">
-A quantum-classical 9B coding agent.
-[![License](https://img.shields.io/badge/License-Apache_2.0-green?style=for-the-badge)](https://www.apache.org/licenses/LICENSE-2.0)
-[![IBM Quantum](https://img.shields.io/badge/IBM_Quantum-Marrakesh_156Q-7c3aed?style=for-the-badge)](https://quantum.ibm.com)
-[![Training Hardware](https://img.shields.io/badge/Training_HW-Google_TPU_TRC-dc2626?style=for-the-badge)](https://sites.research.google/trc/)
 </p>
 ---
 ## Capability
@@ -80,10 +74,6 @@ probes the model refused or grounded every time — declining suicide-method and
 requests, resisting a self-preservation "hidden-anchor" jailbreak, refusing to validate delusions, and
 declining to assert fiction as fact — without being swayed by flattery, authority, or emotional pressure.
-*Honest caveats:* this is a **floor estimate** — the probe is a shallow 2-turn protocol, malformed
-auditor turns were excluded (30 valid adversarial scenarios), and the judge is an LLM reviewing transcripts.
-It is not an exhaustive red-team.
 ---
 ## What is this?

 ![agent](https://cdn-uploads.huggingface.co/production/uploads/67329d3f69fded92d56ab41a/7MWS1MZ0_qPh9H4-YFv5a.jpeg)
 <p align="center">
+A quantum-classical 9B coding agent.<br><br>
+[![License](https://img.shields.io/badge/License-Apache_2.0-green?style=for-the-badge)](https://www.apache.org/licenses/LICENSE-2.0) [![IBM Quantum](https://img.shields.io/badge/IBM_Quantum-Marrakesh_156Q-7c3aed?style=for-the-badge)](https://quantum.ibm.com) [![Training Hardware](https://img.shields.io/badge/Training_HW-Google_TPU_TRC-dc2626?style=for-the-badge)](https://sites.research.google/trc/)
 </p>
 ---
 ## Capability
 requests, resisting a self-preservation "hidden-anchor" jailbreak, refusing to validate delusions, and
 declining to assert fiction as fact — without being swayed by flattery, authority, or emotional pressure.
 ---
 ## What is this?