From 6a3c9691e7a5bfa9c1d389f4b4f7f22caf7941cc Mon Sep 17 00:00:00 2001 From: yatarkan Date: Thu, 12 Sep 2024 19:16:21 +0400 Subject: [PATCH] Remove link --- notebooks/phi-3-vision/phi-3-vision.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notebooks/phi-3-vision/phi-3-vision.ipynb b/notebooks/phi-3-vision/phi-3-vision.ipynb index b4bd3b5e99f..2475206eb14 100644 --- a/notebooks/phi-3-vision/phi-3-vision.ipynb +++ b/notebooks/phi-3-vision/phi-3-vision.ipynb @@ -7,7 +7,7 @@ "source": [ "## Visual-language assistant with Phi3-Vision and OpenVINO\n", "\n", - "The [Phi-3-Vision-128K-Instruct](https://huggingface.co/microsoft/Phi-3-vision-128k-instruct) is a lightweight, state-of-the-art open multimodal model built upon datasets which include - synthetic data and filtered publicly available websites - with a focus on very high-quality, reasoning dense data both on text and vision. The model belongs to the Phi-3 model family, and the multimodal version comes with 128K context length (in tokens) it can support. The model underwent a rigorous enhancement process, incorporating both supervised fine-tuning and direct preference optimization to ensure precise instruction adherence and robust safety measures. More details about model can be found in [model blog post](https://azure.microsoft.com/en-us/blog/new-models-added-to-the-phi-3-family-available-on-microsoft-azure/), [technical report](https://aka.ms/phi3-tech-report), [Phi-3-cookbook](https://github.com/microsoft/Phi-3CookBook)\n", + "The Phi-3-Vision is a lightweight, state-of-the-art open multimodal model built upon datasets which include - synthetic data and filtered publicly available websites - with a focus on very high-quality, reasoning dense data both on text and vision. The model belongs to the Phi-3 model family, and the multimodal version comes with 128K context length (in tokens) it can support. The model underwent a rigorous enhancement process, incorporating both supervised fine-tuning and direct preference optimization to ensure precise instruction adherence and robust safety measures. More details about model can be found in [model blog post](https://azure.microsoft.com/en-us/blog/new-models-added-to-the-phi-3-family-available-on-microsoft-azure/), [technical report](https://aka.ms/phi3-tech-report), [Phi-3-cookbook](https://github.com/microsoft/Phi-3CookBook)\n", "\n", "In this tutorial we consider how to launch Phi-3-vision using OpenVINO for creation multimodal chatbot. Additionally, we optimize model to low precision using [NNCF](https://github.com/openvinotoolkit/nncf)\n", "#### Table of contents:\n",