InternLM XComposer2 VL 7B
InternLM XComposer2 VL 7B is a released vision model with open-source; evaluate it while provider pricing coverage matures.
- Family
- InternLM-XComposer2
- Released
- 2024-04-09
- Parameters
- 7B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-08
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedPermitted
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
No tracked provider pricing is available yet.
About
InternLM-XComposer2-VL-7B is an advanced vision-language large model (VLLM) built on InternLM2 architecture, designed for robust text-image comprehension and composition. It leverages Partial LoRA (P-LoRA) to align embedding spaces effectively between a pre-trained Vision Transformer (ViT) and the language model, enhancing multimodal understanding. The model undergoes pretraining to refine general semantics and improve visual capabilities using datasets like COCO and TextCaps, followed by supervised fine-tuning with various vision-language tasks. It excels in image captioning, visual question answering, and creative text-image compositions, capable of handling high-resolution images and fine-grained details.
Providers
No active provider routes are tracked for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Vision
Benchmark scores(1)
Migration checks
No linked migration route is available for this model yet.