qualcomm/Qwen2.5-VL-7B-Instruct

 Qwen2.5-VL-7B-Instruct is a multimodal vision-language model with 7 billion parameters that can process both images and text, enabling visual question answering, image description, and other vision-language tasks. This is based on the implementation of Qwen2.5-VL-7B-Instruct found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here. Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device. Follow the GenieX quickstart to install GenieX and deploy the model on a target device. See the LLM-on-Genie tutorial to run with the Genie runtime. Note: Genie support will be deprecated soon. For more device-specific assets and performance metrics, visit Qwen2.5-VL-7B-Instruct on Qualcomm® AI Hub. Use the Qualcomm® AI Hub Models Python library to compile and export the model…

Модальности:
Генерация текста

Области применения:
Следование инструкциям

Задача: Генерация текста
Автор: qualcomm
Теги: llm, vlm, generative_ai, android
Лайков: 3  |  Загрузок: 0

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Описание основано на материалах HuggingFace. Перевод выполнен автоматически.