Question: What blog series does this work based on?
Date: 2024-08-06

Search results:

LLaVA-OneVision: Easy Visual Task Transfer - GitHub Pages
We present LLaVA-OneVision, a family of open large multimodal models (LMMs) developed by consolidating our insights into data, models, and visual representations in the LLaVA-NeXT blog series.Our experimental results demonstrate show that LLaVA-OneVision is the first single model that can simultaneously push the performance boundaries of open LMMs in three important computer vision scenarios ...

LLaVA-OneVision: Easy Visual Task Transfer - Papers With Code
We present LLaVA-OneVision, a family of open large multimodal models (LMMs) developed by consolidating our insights into data, models, and visual representations in the LLaVA-NeXT blog series. Our experimental results demonstrate that LLaVA-OneVision is the first single model that can simultaneously push the performance boundaries of open LMMs ...

[2408.03326] LLaVA-OneVision: Easy Visual Task Transfer - arXiv.org
LLaVA-OneVision: Easy Visual Task Transfer. We present LLaVA-OneVision, a family of open large multimodal models (LMMs) developed by consolidating our insights into data, models, and visual representations in the LLaVA-NeXT blog series. Our experimental results demonstrate that LLaVA-OneVision is the first single model that can simultaneously ...

Paper page - LLaVA-OneVision: Easy Visual Task Transfer - Hugging Face
Abstract. We present LLaVA-OneVision, a family of open large multimodal models (LMMs) developed by consolidating our insights into data, models, and visual representations in the LLaVA-NeXT blog series. Our experimental results demonstrate that LLaVA-OneVision is the first single model that can simultaneously push the performance boundaries of ...

LLaVA-OneVision - So Essentially
The development of LLaVA-OneVision stemmed from the LLaVA-NeXT blog series and consolidates insights from this research. The model builds upon techniques explored in LLaVA-NeXT, which focused on: a cost-efficient training recipe for LMMs with strong performance.

LLaVA-OneVision — Pushing boundaries in multimodal AI with visual task ...
LLaVA-OneVision, a family of open large multimodal models, has emerged as a significant advancement in this domain. Developed by consolidating insights from the LLaVA-NeXT blog series , LLaVA-OneVision is the first single model to simultaneously push performance boundaries across three crucial computer vision scenarios: single-image, multi ...

Unleashing the Power of LLaVA-OneVision: A Game-Changer in Visual Task ...
What is LLaVA-OneVision? LLaVA-OneVision is a family of open large multimodal models developed by integrating advanced insights into data, models, and visual representations. This model continues the legacy of the LLaVA (Large Vision-and-Language Assistant) series, renowned for its ability to handle diverse computer vision tasks efficiently.

lmms-lab/llava-onevision-qwen2-7b-ov - Hugging Face
The LLaVA-OneVision models are 0.5/7/72B parameter models trained on LLaVA-OneVision, based on Qwen2 language model with a context window of 32K tokens. Repository: LLaVA-VL/LLaVA-NeXT. Project Website: llava-onevision.lmms-lab.com. Paper: LLaVA-OneVision.

Answer: LLaVA-NeXT