InternVL3
InternVL3 is an advanced multimodal large language model (MLLM) series that demonstrates superior performance in multimodal perception, reasoning, and extended capabilities like tool usage, GUI agents, industrial image analysis, and 3D vision perception.
https://internvl.opengvlab.com/?ref=aipure
Product Information
Updated:Jun 16, 2025
InternVL3 Monthly Traffic Trends
InternVL3 received 5.9k visits last month, demonstrating a Slight Growth of 14%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history trafficWhat is InternVL3
InternVL3 is the latest iteration in the InternVL family, representing a significant advancement in multimodal AI technology. As a successor to InternVL 2.5, it offers enhanced capabilities in processing and understanding multiple types of inputs including images, videos, and text. The model comes in various sizes ranging from 1B to 78B parameters, making it adaptable for different deployment scenarios while maintaining high performance standards.
Key Features of InternVL3
InternVL3 is an advanced multimodal large language model (MLLM) series that demonstrates superior overall performance compared to its predecessor InternVL 2.5. It features enhanced multimodal perception and reasoning capabilities, with models ranging from 1B to 78B parameters. The model incorporates key designs like Variable Visual Position Encoding, Native Multimodal Pre-Training, Mixed Preference Optimization, and Multimodal Test-Time Scaling.
Advanced Multimodal Architecture: Supports efficient batched inference with interleaved image, video, and text inputs through various attention implementations including SDPA and FA2
Scalable Model Sizes: Offers multiple model variants from 1B to 78B parameters to suit different deployment needs and computational resources
Native Multimodal Pre-Training: Replaces conventional MLP warmup with native multimodal pre-training for better feature alignment and performance
Enhanced Context Window: Supports processing of long texts, multiple images, and videos with improved handling capabilities
Use Cases of InternVL3
Industrial Image Analysis: Enables detailed analysis and interpretation of industrial images for quality control and process optimization
GUI Agent Applications: Facilitates interaction with graphical user interfaces for automated testing and user experience analysis
3D Vision Perception: Supports advanced 3D vision tasks for applications in robotics, autonomous systems, and virtual environments
Tool Usage Integration: Enables integration with various tools and systems for enhanced functionality and automation capabilities
Pros
Superior multimodal perception and reasoning capabilities
Flexible model size options for different deployment scenarios
Comprehensive support for multiple input types (text, image, video)
Cons
Larger models require significant computational resources
May need specific hardware configurations for optimal performance (e.g., multiple GPUs for 78B model)
How to Use InternVL3
Install Required Packages: Install lmdeploy>=0.7.3 and transformers>=4.37.2 using pip: 'pip install lmdeploy>=0.7.3 transformers>=4.37.2'
Import Required Libraries: Import necessary libraries: 'from lmdeploy import pipeline, TurbomindEngineConfig, ChatTemplateConfig' and 'from lmdeploy.vl import load_image'
Select Model Size: Choose from available InternVL3 model sizes: 1B, 2B, 8B, 9B, 38B, or 78B. Example: model = 'OpenGVLab/InternVL3-8B'
Load Image: Load your image using load_image function: 'image = load_image(your_image_path)'
Create Pipeline: Initialize the pipeline with appropriate configuration: 'pipe = pipeline(model, backend_config=TurbomindEngineConfig(session_len=16384, tp=1), chat_template_config=ChatTemplateConfig(model_name='internvl2_5'))'
Generate Response: Get model response by passing image and prompt: 'response = pipe(('describe this image', image))'
Print Output: Display the model's response: 'print(response.text)'
Optional: Deploy as API Server: To deploy as API server: 'lmdeploy serve api_server OpenGVLab/InternVL3-[SIZE] --chat-template internvl2_5 --server-port 23333 --tp 1'
InternVL3 FAQs
InternVL3 is an advanced open-source multimodal large language model (MLLM) series that demonstrates superior overall performance compared to previous versions. It's positioned as an alternative to GPT-4V.
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Analytics of InternVL3 Website
InternVL3 Traffic & Rankings
5.9K
Monthly Visits
-
Global Rank
-
Category Rank
Traffic Trends: Mar 2025-May 2025
InternVL3 User Insights
00:01:35
Avg. Visit Duration
2.54
Pages Per Visit
32.93%
User Bounce Rate
Top Regions of InternVL3
CN: 66.88%
US: 11.5%
HK: 6.96%
KR: 6.46%
TW: 2.85%
Others: 5.35%
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