Instructions to use renhouxing/ME-DLM-Stage2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use renhouxing/ME-DLM-Stage2 with Transformers:

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

pipe = pipeline("text-generation", model="renhouxing/ME-DLM-Stage2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("renhouxing/ME-DLM-Stage2", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use renhouxing/ME-DLM-Stage2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "renhouxing/ME-DLM-Stage2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "renhouxing/ME-DLM-Stage2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/renhouxing/ME-DLM-Stage2

SGLang

How to use renhouxing/ME-DLM-Stage2 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 "renhouxing/ME-DLM-Stage2" \
    --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": "renhouxing/ME-DLM-Stage2",
		"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 "renhouxing/ME-DLM-Stage2" \
        --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": "renhouxing/ME-DLM-Stage2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use renhouxing/ME-DLM-Stage2 with Docker Model Runner:
```
docker model run hf.co/renhouxing/ME-DLM-Stage2
```

Add library_name metadata and improve paper linking

by nielsr HF Staff - opened 20 days ago

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+20

-3

Files changed (1) hide show

README.md +20 -3

README.md CHANGED Viewed

@@ -1,14 +1,20 @@
 ---
-language:
-- en
 base_model:
 - GSAI-ML/LLaDA-8B-Base
 pipeline_tag: text-generation
 ---
 ## Edit-Based Refinement for Parallel Masked Diffusion Language Models
 <p align="center">
-    <a href="https://arxiv.org/abs/2605.09603">📄 Paper</a> •
     <a href="https://github.com/renhouxing/ME-DLM">🏠 Repo</a> •
     <a href="https://huggingface.co/renhouxing/ME-DLM-Stage3">🤖 Models</a>
 </p>
@@ -25,6 +31,17 @@ ME-DLM is a lightweight edit-based refinement framework for masked diffusion lan
 | ME-DLM Stage 2   | 🤗 [HF Link](https://huggingface.co/renhouxing/ME-DLM-Stage2) |
 | ME-DLM Stage 3   | 🤗 [HF Link](https://huggingface.co/renhouxing/ME-DLM-Stage3) |
 ## Acknowledgments
 We thank the following amazing projects that truly inspired us:

 ---
 base_model:
 - GSAI-ML/LLaDA-8B-Base
+language:
+- en
 pipeline_tag: text-generation
+library_name: transformers
 ---
 ## Edit-Based Refinement for Parallel Masked Diffusion Language Models
+This repository contains the Stage 3 checkpoint for **ME-DLM**, as presented in the paper [Edit-Based Refinement for Parallel Masked Diffusion Language Models](https://huggingface.co/papers/2605.09603).
+**Authors**: Houxing Ren, Mingjie Zhan, Zimu Lu, Ke Wang, Yunqiao Yang, Haotian Hou, Junting Pan, Hongsheng Li.
 <p align="center">
+    <a href="https://huggingface.co/papers/2605.09603">📄 Paper</a> •
     <a href="https://github.com/renhouxing/ME-DLM">🏠 Repo</a> •
     <a href="https://huggingface.co/renhouxing/ME-DLM-Stage3">🤖 Models</a>
 </p>
 | ME-DLM Stage 2   | 🤗 [HF Link](https://huggingface.co/renhouxing/ME-DLM-Stage2) |
 | ME-DLM Stage 3   | 🤗 [HF Link](https://huggingface.co/renhouxing/ME-DLM-Stage3) |
+## Citation
+```bibtex
+@article{ren2025edit,
+  title={Edit-Based Refinement for Parallel Masked Diffusion Language Models},
+  author={Ren, Houxing and Zhan, Mingjie and Lu, Zimu and Ke Wang and Yang, Yunqiao and Hou, Haotian and Pan, Junting and Li, Hongsheng},
+  journal={arXiv preprint arXiv:2605.09603},
+  year={2025}
+}
+```
 ## Acknowledgments
 We thank the following amazing projects that truly inspired us: