Instructions to use baidu/ERNIE-4.5-VL-28B-A3B-PT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use baidu/ERNIE-4.5-VL-28B-A3B-PT with Transformers:

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

pipe = pipeline("image-text-to-text", model="baidu/ERNIE-4.5-VL-28B-A3B-PT", trust_remote_code=True)
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 AutoModelForImageTextToText
model = AutoModelForImageTextToText.from_pretrained("baidu/ERNIE-4.5-VL-28B-A3B-PT", trust_remote_code=True, dtype="auto")

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use baidu/ERNIE-4.5-VL-28B-A3B-PT with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "baidu/ERNIE-4.5-VL-28B-A3B-PT"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "baidu/ERNIE-4.5-VL-28B-A3B-PT",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/baidu/ERNIE-4.5-VL-28B-A3B-PT

SGLang

How to use baidu/ERNIE-4.5-VL-28B-A3B-PT 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 "baidu/ERNIE-4.5-VL-28B-A3B-PT" \
    --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": "baidu/ERNIE-4.5-VL-28B-A3B-PT",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

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 "baidu/ERNIE-4.5-VL-28B-A3B-PT" \
        --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": "baidu/ERNIE-4.5-VL-28B-A3B-PT",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use baidu/ERNIE-4.5-VL-28B-A3B-PT with Docker Model Runner:
```
docker model run hf.co/baidu/ERNIE-4.5-VL-28B-A3B-PT
```

SFLY5 commited on Aug 8, 2025

Commit

5649889

verified ·

1 Parent(s): f27cc68

Update configuration_ernie4_5_vl.py

Browse files

Files changed (1) hide show

configuration_ernie4_5_vl.py +13 -13

configuration_ernie4_5_vl.py CHANGED Viewed

@@ -539,19 +539,19 @@ class Ernie4_5_VLMoEConfig(Ernie4_5_MoEConfig):
         "activation_function": "hidden_act",
     }
     base_model_tp_plan = {
-        "ernie.layers.*.self_attn.q_proj": "colwise_rep",
-        "ernie.layers.*.self_attn.k_proj": "colwise_rep",
-        "ernie.layers.*.self_attn.v_proj": "colwise_rep",
-        "ernie.layers.*.self_attn.o_proj": "rowwise_rep",
-        "ernie.layers.*.mlp.experts.*.gate_proj": "colwise",
-        "ernie.layers.*.mlp.experts.*.up_proj": "colwise",
-        "ernie.layers.*.mlp.experts.*.down_proj": "rowwise",
-        "ernie.layers.*.mlp_text.experts.*.gate_proj": "colwise",
-        "ernie.layers.*.mlp_text.experts.*.up_proj": "colwise",
-        "ernie.layers.*.mlp_text.experts.*.down_proj": "rowwise",
-        "ernie.layers.*.mlp.gate_proj": "colwise",
-        "ernie.layers.*.mlp.up_proj": "colwise",
-        "ernie.layers.*.mlp.down_proj": "rowwise",
     }
     def __init__(

         "activation_function": "hidden_act",
     }
     base_model_tp_plan = {
+        "model.layers.*.self_attn.q_proj": "colwise_rep",
+        "model.layers.*.self_attn.k_proj": "colwise_rep",
+        "model.layers.*.self_attn.v_proj": "colwise_rep",
+        "model.layers.*.self_attn.o_proj": "rowwise_rep",
+        "model.layers.*.mlp.experts.*.gate_proj": "colwise",
+        "model.layers.*.mlp.experts.*.up_proj": "colwise",
+        "model.layers.*.mlp.experts.*.down_proj": "rowwise",
+        "model.layers.*.mlp_text.experts.*.gate_proj": "colwise",
+        "model.layers.*.mlp_text.experts.*.up_proj": "colwise",
+        "model.layers.*.mlp_text.experts.*.down_proj": "rowwise",
+        "model.layers.*.mlp.gate_proj": "colwise",
+        "model.layers.*.mlp.up_proj": "colwise",
+        "model.layers.*.mlp.down_proj": "rowwise"
     }
     def __init__(