Instructions to use aisingapore/Gemma-SEA-LION-v4-27B-IT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use aisingapore/Gemma-SEA-LION-v4-27B-IT with Transformers:

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

pipe = pipeline("text-generation", model="aisingapore/Gemma-SEA-LION-v4-27B-IT")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("aisingapore/Gemma-SEA-LION-v4-27B-IT")
model = AutoModelForMultimodalLM.from_pretrained("aisingapore/Gemma-SEA-LION-v4-27B-IT")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.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(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
HuggingChat
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use aisingapore/Gemma-SEA-LION-v4-27B-IT with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "aisingapore/Gemma-SEA-LION-v4-27B-IT"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "aisingapore/Gemma-SEA-LION-v4-27B-IT",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/aisingapore/Gemma-SEA-LION-v4-27B-IT

SGLang

How to use aisingapore/Gemma-SEA-LION-v4-27B-IT 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 "aisingapore/Gemma-SEA-LION-v4-27B-IT" \
    --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": "aisingapore/Gemma-SEA-LION-v4-27B-IT",
		"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 "aisingapore/Gemma-SEA-LION-v4-27B-IT" \
        --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": "aisingapore/Gemma-SEA-LION-v4-27B-IT",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use aisingapore/Gemma-SEA-LION-v4-27B-IT with Docker Model Runner:
```
docker model run hf.co/aisingapore/Gemma-SEA-LION-v4-27B-IT
```

SAnocha commited on Aug 21, 2025

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@@ -289,7 +289,7 @@ Leong Wei Qi, Leslie Teo, Mark Pereira, Muhammad Ridzuan Bin Mokhtar, Ngee Chia
 Ngui Jian Gang, Nguyen Thanh Ngan, Nicholas Cheng Zi Yi, Ong Zhi Hao, Peerat Limkonchotiwat,
 Raymond Ng Boon Cheong, Sajeban Antonyrex, Susanto Yosephine, Tan Choon Meng,
 Walter Teng Kok Wai, Wayne Lau, William Tjhi Chandra, Yeo Yeow Tong, Yong Xianbin,
-Liew Rachel, Liu Bing Jie Darius, Teo Wei Yi
 ## Contact

 Ngui Jian Gang, Nguyen Thanh Ngan, Nicholas Cheng Zi Yi, Ong Zhi Hao, Peerat Limkonchotiwat,
 Raymond Ng Boon Cheong, Sajeban Antonyrex, Susanto Yosephine, Tan Choon Meng,
 Walter Teng Kok Wai, Wayne Lau, William Tjhi Chandra, Yeo Yeow Tong, Yong Xianbin,
+Liew Rachel, Liu Bing Jie Darius, Teo Wei Yi, Lin Zhou, Roshan Gopalakrishnan, Cuahtemoc Anda, Sri Devi Wijaya and Partha Nandi
 ## Contact