Instructions to use Siyuc/INFUSER-Qwen3-4B-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Siyuc/INFUSER-Qwen3-4B-base with Transformers:

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

pipe = pipeline("text-generation", model="Siyuc/INFUSER-Qwen3-4B-base")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Siyuc/INFUSER-Qwen3-4B-base")
model = AutoModelForCausalLM.from_pretrained("Siyuc/INFUSER-Qwen3-4B-base")
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 Siyuc/INFUSER-Qwen3-4B-base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Siyuc/INFUSER-Qwen3-4B-base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Siyuc/INFUSER-Qwen3-4B-base",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Siyuc/INFUSER-Qwen3-4B-base

SGLang

How to use Siyuc/INFUSER-Qwen3-4B-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 "Siyuc/INFUSER-Qwen3-4B-base" \
    --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": "Siyuc/INFUSER-Qwen3-4B-base",
		"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 "Siyuc/INFUSER-Qwen3-4B-base" \
        --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": "Siyuc/INFUSER-Qwen3-4B-base",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Siyuc/INFUSER-Qwen3-4B-base with Docker Model Runner:
```
docker model run hf.co/Siyuc/INFUSER-Qwen3-4B-base
```

Improve model card: add license, paper link, and citation

by nielsr HF Staff - opened 28 days ago

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+26

-7

nielsr

28 days ago

This PR improves the model card for INFUSER-Qwen3-4B-base by:

Adding the mit license to the metadata.
Including a link to the associated paper: "INFUSER: Influence-Guided Self-Evolution Improves Reasoning".
Adding a link to the project blog and code repository.
Adding the BibTeX citation for proper attribution.

Improve model card: add license, paper link, and citationaaa53e86

Siyuc changed pull request status to merged 28 days ago

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment