Instructions to use ByteDance-Seed/Stable-DiffCoder-8B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ByteDance-Seed/Stable-DiffCoder-8B-Base with Transformers:

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

pipe = pipeline("text-generation", model="ByteDance-Seed/Stable-DiffCoder-8B-Base", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("ByteDance-Seed/Stable-DiffCoder-8B-Base", trust_remote_code=True)
model = AutoModel.from_pretrained("ByteDance-Seed/Stable-DiffCoder-8B-Base", trust_remote_code=True)

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use ByteDance-Seed/Stable-DiffCoder-8B-Base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ByteDance-Seed/Stable-DiffCoder-8B-Base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ByteDance-Seed/Stable-DiffCoder-8B-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/ByteDance-Seed/Stable-DiffCoder-8B-Base

SGLang

How to use ByteDance-Seed/Stable-DiffCoder-8B-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 "ByteDance-Seed/Stable-DiffCoder-8B-Base" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ByteDance-Seed/Stable-DiffCoder-8B-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "ByteDance-Seed/Stable-DiffCoder-8B-Base" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ByteDance-Seed/Stable-DiffCoder-8B-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ByteDance-Seed/Stable-DiffCoder-8B-Base with Docker Model Runner:
```
docker model run hf.co/ByteDance-Seed/Stable-DiffCoder-8B-Base
```

Facico commited on Jan 23

Commit

1a32eee

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1 Parent(s): d259d33

Update README.md

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README.md +9 -5

README.md CHANGED Viewed

@@ -11,7 +11,7 @@ library_name: transformers
     <img alt="Homepage" src="https://img.shields.io/badge/Stable--DiffCoder-Homepage-a468fe?color=a468fe&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
   </a>
-  <a href="https://arxiv.org/abs/xxx" target="_blank" style="margin: 2px;">
     <img alt="Technical Report" src="https://img.shields.io/badge/arXiv-Technical%20Report-brightgreen?logo=arxiv&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
   </a>
@@ -135,9 +135,13 @@ This project is licensed under the MIT License. See the [LICENSE file](https://g
 If you find our work helpful, feel free to give us a cite.
 ```
-@misc{seed2026stablediffcoder,
-      title={{Stable-DiffCoder}: Pushing the Frontier of Code Diffusion Large Language Model},
-      author={{ByteDance Seed} and Chenghao Fan and Wen Heng and Bo Li and Sichen Liu and Yuxuan Song and Jing Su and Xiaoye Qu and Kai Shen and Wei Wei},
-      year={2026}
 }
 ```

     <img alt="Homepage" src="https://img.shields.io/badge/Stable--DiffCoder-Homepage-a468fe?color=a468fe&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
   </a>
+  <a href="https://arxiv.org/abs/2601.15892" target="_blank" style="margin: 2px;">
     <img alt="Technical Report" src="https://img.shields.io/badge/arXiv-Technical%20Report-brightgreen?logo=arxiv&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
   </a>
 If you find our work helpful, feel free to give us a cite.
 ```
+@misc{fan2026stablediffcoderpushingfrontiercode,
+      title={Stable-DiffCoder: Pushing the Frontier of Code Diffusion Large Language Model},
+      author={Chenghao Fan and Wen Heng and Bo Li and Sichen Liu and Yuxuan Song and Jing Su and Xiaoye Qu and Kai Shen and Wei Wei},
+      year={2026},
+      eprint={2601.15892},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2601.15892},
 }
 ```