Deepseek Ai Deepseek Vl2 Small · Upload 44b03d1e 4ddc 4574 Ae43

Deepseek-ai/deepseek-vl2-small | API Reference

Deepseek-ai/deepseek-vl2-small | API Reference Our model series is composed of three variants: deepseek vl2 tiny, deepseek vl2 small and deepseek vl2, with 1.0b, 2.8b and 4.5b activated parameters respectively. Deepseek vl2 demonstrates superior capabilities across various tasks, including but not limited to visual question answering, optical character recognition, document/table/chart understanding, and visual grounding.

Deepseek-ai/deepseek-vl2-small · Hugging Face

Deepseek-ai/deepseek-vl2-small · Hugging Face Deepseek vl2 small stands at the forefront of multimodal ai research, combining innovative moe architecture with robust performance to deliver impactful solutions across industries. The diagram illustrates a three stage process for training and fine tuning a model using a combination of vision language (vl) adaptation, pre training, and supervised finetuning. Deepseek vl2 small demonstrates performance on a range of established multimodal benchmarks, particularly in ocr and document understanding, general visual question answering, and visual grounding tasks. Deepseek vl2 small is a powerful ai model that excels in multimodal understanding tasks, such as visual question answering and optical character recognition. built on the deepseekmoe 16b architecture, it achieves competitive performance with fewer activated parameters compared to other models.

Deepseek-ai/deepseek-vl2-small · Upload 44b03d1e-4ddc-4574-ae43 ...

Deepseek-ai/deepseek-vl2-small · Upload 44b03d1e-4ddc-4574-ae43 ... Deepseek vl2 small demonstrates performance on a range of established multimodal benchmarks, particularly in ocr and document understanding, general visual question answering, and visual grounding tasks. Deepseek vl2 small is a powerful ai model that excels in multimodal understanding tasks, such as visual question answering and optical character recognition. built on the deepseekmoe 16b architecture, it achieves competitive performance with fewer activated parameters compared to other models. The model series includes three versions—deepseek vl2 tiny, deepseek vl2 small, and deepseek vl2—with varying numbers of activated parameters to suit different use cases. deepseek vl2 is optimized for accuracy while maintaining efficiency, making it a strong choice for complex multimodal tasks. We’re on a journey to advance and democratize artificial intelligence through open source and open science. This guide provides practical examples to help you start using deepseek vl2 quickly. it covers installation, basic inference workflows, and usage patterns. for detailed information about the model arc. Deepseek vl2 small extends the innovative mixture of experts (moe) vision language architecture pioneered by deepseek vl2. this model, created by deepseek ai, employs 2.8b activated parameters to process and understand visual and textual information.

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