POINTS-Yi-1.5-9B-Chat

Latest advancements in visual language models, integrating new technologies from WeChat AI.

CommonProductProductivityVisual Language ModelWeChat AI

POINTS-Yi-1.5-9B-Chat is a visual language model that incorporates the latest visual language model technologies along with innovations introduced by WeChat AI. The model features significant innovations in pre-training dataset filtering and Model Soup technology, allowing for substantial reductions in dataset size while enhancing model performance. It excels in multiple benchmark tests, marking an important advancement in the field of visual language models.

Integrates the latest visual language model technologies
such as CapFusion
Dual Vision Encoder
and Dynamic High Resolution.
Filters the pre-training dataset using perplexity as a metric
reducing dataset size and improving model performance.
Employs Model Soup technology to consolidate models fine-tuned on various visual instructions
further enhancing performance.
Demonstrates exceptional performance across multiple benchmark tests
including MMBench-dev-en

\The target audience includes researchers
developers
and enterprises
particularly those professionals who need to train and apply models in the field of visual language. This product enhances model performance
minimizes computational resource consumption

In an image captioning task
use POINTS-Yi-1.5-9B-Chat to generate detailed descriptions of images.
In a visual question-answering task
utilize the model to answer questions related to images.
In a visual instruction-following task

1. Install necessary libraries such as transformers
PIL
and torch.
2. Import AutoModelForCausalLM
AutoTokenizer

Visit

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Monthly Visits

20899836

Bounce Rate

46.04%

Page per Visit

5.2

Visit Duration

00:04:57

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