Instructions to use IAAR-Shanghai/MemPrivacy-4B-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use IAAR-Shanghai/MemPrivacy-4B-SFT with Transformers:

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

pipe = pipeline("text-generation", model="IAAR-Shanghai/MemPrivacy-4B-SFT")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("IAAR-Shanghai/MemPrivacy-4B-SFT")
model = AutoModelForCausalLM.from_pretrained("IAAR-Shanghai/MemPrivacy-4B-SFT")
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

vLLM

How to use IAAR-Shanghai/MemPrivacy-4B-SFT with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/IAAR-Shanghai/MemPrivacy-4B-SFT

SGLang

How to use IAAR-Shanghai/MemPrivacy-4B-SFT 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 "IAAR-Shanghai/MemPrivacy-4B-SFT" \
    --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": "IAAR-Shanghai/MemPrivacy-4B-SFT",
		"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 "IAAR-Shanghai/MemPrivacy-4B-SFT" \
        --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": "IAAR-Shanghai/MemPrivacy-4B-SFT",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use IAAR-Shanghai/MemPrivacy-4B-SFT with Docker Model Runner:
```
docker model run hf.co/IAAR-Shanghai/MemPrivacy-4B-SFT
```

apocryphal commited on 5 days ago

Commit

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@@ -29,13 +29,16 @@ library_name: transformers
 <p align="center">
   <div style="display: flex; justify-content: center; gap: 10px;">
     <a href="https://github.com/MemTensor/MemPrivacy">
-      <img src="https://img.shields.io/badge/GitHub-Repository-blue?logo=github" alt="GitHub"/>
     </a>
     <a href="https://huggingface.co/IAAR-Shanghai/MemPrivacy-4B-SFT">
       <img src="https://img.shields.io/badge/🤗%20Hugging%20Face-MemPrivacy--4B--SFT-yellow" alt="Hugging Face"/>
     </a>
-    <a href="https://arxiv.org/abs/2605.09530">
-      <img src="https://img.shields.io/badge/Paper-arXiv-red?logo=arxiv" alt="Paper"/>
     </a>
   </div>
 </p>

 <p align="center">
   <div style="display: flex; justify-content: center; gap: 10px;">
     <a href="https://github.com/MemTensor/MemPrivacy">
+      <img src="https://img.shields.io/badge/GitHub-MemPrivacy-blue?logo=github" alt="GitHub"/>
+    </a>
+    <a href="https://arxiv.org/abs/2605.09530">
+      <img src="https://img.shields.io/badge/Paper-arXiv-red?logo=arxiv" alt="Paper"/>
     </a>
     <a href="https://huggingface.co/IAAR-Shanghai/MemPrivacy-4B-SFT">
       <img src="https://img.shields.io/badge/🤗%20Hugging%20Face-MemPrivacy--4B--SFT-yellow" alt="Hugging Face"/>
     </a>
+    <a href="https://modelscope.cn/models/MemTensor/MemPrivacy-4B-SFT">
+      <img alt="ModelScope" src="https://img.shields.io/badge/🤖%20ModelScope-MemPrivacy--4B--SFT-7B42BC?style=flat-square">
     </a>
   </div>
 </p>