Instructions to use simplex-ai-inc/LiteResearcher-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use simplex-ai-inc/LiteResearcher-4B with Transformers:

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

pipe = pipeline("text-generation", model="simplex-ai-inc/LiteResearcher-4B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("simplex-ai-inc/LiteResearcher-4B")
model = AutoModelForCausalLM.from_pretrained("simplex-ai-inc/LiteResearcher-4B")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use simplex-ai-inc/LiteResearcher-4B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "simplex-ai-inc/LiteResearcher-4B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "simplex-ai-inc/LiteResearcher-4B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/simplex-ai-inc/LiteResearcher-4B

SGLang

How to use simplex-ai-inc/LiteResearcher-4B 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 "simplex-ai-inc/LiteResearcher-4B" \
    --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": "simplex-ai-inc/LiteResearcher-4B",
		"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 "simplex-ai-inc/LiteResearcher-4B" \
        --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": "simplex-ai-inc/LiteResearcher-4B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use simplex-ai-inc/LiteResearcher-4B with Docker Model Runner:
```
docker model run hf.co/simplex-ai-inc/LiteResearcher-4B
```

wanlilll commited on Apr 21

Commit

0ebc523

verified ·

1 Parent(s): 2373c5f

fix bibtex: use standard author format + add arxiv journal field

Browse files

Files changed (1) hide show

README.md +2 -1

README.md CHANGED Viewed

@@ -144,7 +144,8 @@ Best open-source results in **bold**. Results with \* use a 64k context window w
 ```bibtex
 @article{li2026literesearcher,
   title={LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent},
-  author={Wanli Li and Bince Qu and Bo Pan and Jianyu Zhang and Zheng Liu and Pan Zhang and Wei Chen and Bo Zhang},
   year={2026}
 }
 ```

 ```bibtex
 @article{li2026literesearcher,
   title={LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent},
+  author={Li, Wanli and Qu, Bince and Pan, Bo and Zhang, Jianyu and Liu, Zheng and Zhang, Pan and Chen, Wei and Zhang, Bo},
+  journal={arXiv preprint arXiv:2604.17931},
   year={2026}
 }
 ```