Instructions to use OpenGVLab/InternVL2_5-2B-MPO-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OpenGVLab/InternVL2_5-2B-MPO-hf with Transformers:

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

pipe = pipeline("image-text-to-text", model="OpenGVLab/InternVL2_5-2B-MPO-hf")
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, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("OpenGVLab/InternVL2_5-2B-MPO-hf")
model = AutoModelForImageTextToText.from_pretrained("OpenGVLab/InternVL2_5-2B-MPO-hf")
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]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use OpenGVLab/InternVL2_5-2B-MPO-hf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OpenGVLab/InternVL2_5-2B-MPO-hf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OpenGVLab/InternVL2_5-2B-MPO-hf",
		"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/OpenGVLab/InternVL2_5-2B-MPO-hf

SGLang

How to use OpenGVLab/InternVL2_5-2B-MPO-hf 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 "OpenGVLab/InternVL2_5-2B-MPO-hf" \
    --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": "OpenGVLab/InternVL2_5-2B-MPO-hf",
		"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 "OpenGVLab/InternVL2_5-2B-MPO-hf" \
        --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": "OpenGVLab/InternVL2_5-2B-MPO-hf",
		"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 OpenGVLab/InternVL2_5-2B-MPO-hf with Docker Model Runner:
```
docker model run hf.co/OpenGVLab/InternVL2_5-2B-MPO-hf
```

RaushanTurganbay HF Staff commited on Apr 23, 2025

Commit

0b8190c

1 Parent(s): b8a2143

update

Browse files

Files changed (6) hide show

added_tokens.json +1 -0
chat_template.jinja +1 -1
processor_config.json +0 -2
special_tokens_map.json +2 -1
tokenizer.json +2 -2
tokenizer_config.json +12 -2

added_tokens.json CHANGED Viewed

@@ -8,6 +8,7 @@
   "<img>": 92544,
   "<quad>": 92547,
   "<ref>": 92549,
   "<|action_end|>": 92540,
   "<|action_start|>": 92541,
   "<|im_end|>": 92542,

   "<img>": 92544,
   "<quad>": 92547,
   "<ref>": 92549,
+  "<video>": 92553,
   "<|action_end|>": 92540,
   "<|action_start|>": 92541,
   "<|im_end|>": 92542,

chat_template.jinja CHANGED Viewed

@@ -1,5 +1,5 @@
 {% for message in messages %}{{'<|im_start|>' + message['role'] + '
-'}}{% if message['content'] is string %}{{ message['content'] }}{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' %}{{ '<image>
 ' }}{% elif content['type'] == 'video' %}{{ '<video>
 ' }}{% elif content['type'] == 'text' %}{{ content['text'] }}{% endif %}{% endfor %}{% endif %}{{'<|im_end|>
 '}}{% endfor %}{% if add_generation_prompt %}{{'<|im_start|>assistant

 {% for message in messages %}{{'<|im_start|>' + message['role'] + '
+'}}{% if message['content'] is string %}{{ message['content'] }}{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' %}{{ '<IMG_CONTEXT>
 ' }}{% elif content['type'] == 'video' %}{{ '<video>
 ' }}{% elif content['type'] == 'text' %}{{ content['text'] }}{% endif %}{% endfor %}{% endif %}{{'<|im_end|>
 '}}{% endfor %}{% if add_generation_prompt %}{{'<|im_start|>assistant

processor_config.json CHANGED Viewed

@@ -1,6 +1,4 @@
 {
-  "fake_image_token": "<image>",
-  "fake_video_token": "<video>",
   "image_seq_length": 256,
   "processor_class": "InternVLProcessor"
 }

 {
   "image_seq_length": 256,
   "processor_class": "InternVLProcessor"
 }

special_tokens_map.json CHANGED Viewed

@@ -46,5 +46,6 @@
     "normalized": false,
     "rstrip": false,
     "single_word": false
-  }
 }

     "normalized": false,
     "rstrip": false,
     "single_word": false
+  },
+  "video_token": "<video>"
 }

tokenizer.json CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:14cd1534c31a36e6d06178cf0561501f8637931f5da4ce70c882827ec34b9ed8
-size 10578358

 version https://git-lfs.github.com/spec/v1
+oid sha256:ab3c9a9a9b96c4b6c042fd747c62d971b6b3475e6d6804ac77ce49c3e26876b7
+size 10578541

tokenizer_config.json CHANGED Viewed

@@ -1634,6 +1634,14 @@
       "rstrip": false,
       "single_word": false,
       "special": true
     }
   },
   "additional_special_tokens": [
@@ -1667,7 +1675,8 @@
   "extra_special_tokens": {
     "context_image_token": "<IMG_CONTEXT>",
     "end_image_token": "</img>",
-    "start_image_token": "<img>"
   },
   "legacy": false,
   "model_max_length": 8192,
@@ -1679,5 +1688,6 @@
   "start_image_token": "<img>",
   "tokenizer_class": "LlamaTokenizer",
   "unk_token": "<unk>",
-  "use_default_system_prompt": false
 }

       "rstrip": false,
       "single_word": false,
       "special": true
+    },
+    "92553": {
+      "content": "<video>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
     }
   },
   "additional_special_tokens": [
   "extra_special_tokens": {
     "context_image_token": "<IMG_CONTEXT>",
     "end_image_token": "</img>",
+    "start_image_token": "<img>",
+    "video_token": "<video>"
   },
   "legacy": false,
   "model_max_length": 8192,
   "start_image_token": "<img>",
   "tokenizer_class": "LlamaTokenizer",
   "unk_token": "<unk>",
+  "use_default_system_prompt": false,
+  "video_token": "<video>"
 }