InternVL 2.5
Open-source multimodal LLM competitive with commercial models by Shanghai AI Lab.
About
InternVL 2.5 by Shanghai AI Laboratory is an open-source multimodal LLM that pairs a vision encoder with a language model for image and document understanding. It performs strongly on visual question answering, OCR, chart and table reading, and multi-image reasoning, and is released in several sizes to fit different hardware. Later InternVL3 versions extended the line. Released under the MIT license with weights on Hugging Face.
Reviews (0)
Leave a Review
No reviews yet. Be the first to review!
Details
- Category
- Large Language Models (LLMs)
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- License
- MIT
- Minimum VRAM
- 12 GB
- Added
- Apr 3, 2026
Related Tools
Lightweight open-weight LLM by Google available in 1B to 27B sizes.
Open-source code LLM family by IBM for enterprise code generation.
Open-weight LLM by Meta in 8B and 70B sizes with strong general capabilities.
High-performance open-weight MoE LLM with 671B total parameters.
Hybrid SSM-Transformer model by AI21 Labs combining Mamba with attention layers.
Open-weight code LLM trained on 2 trillion tokens of code and natural language.