A naukri.com initiative
Amazon
1d
235
Image Credit: Amazon
Deploy Qwen models with Amazon Bedrock Custom Model Import
- Amazon Bedrock Custom Model Import now supports Qwen models like Qwen2, Qwen2_VL, and Qwen2_5_VL for easy deployment in a serverless environment.
- Qwen models such as Qwen 2.5-Coder, Qwen 2.5-Math, and Qwen 2.5-VL offer specialized capabilities for tasks like code generation, mathematical reasoning, image, and video processing.
- Amazon Bedrock enables importing and using customized Qwen models alongside foundation models through a unified API without managing underlying infrastructure.
- Deployment of Qwen 2.5 models with Amazon Bedrock Custom Model Import is detailed for coding assistance and image understanding use cases.
- Prerequisites for importing Qwen models include an active AWS account, an S3 bucket for storage, necessary permissions, and Region support.
- Steps involve downloading the model, uploading it to S3, creating a model import job, and using Amazon Bedrock tools for deploying and interacting with the model.
- Inference with Qwen models includes leveraging specific prompts and formats for interactions to utilize the models effectively.
- Qwen 2.5-VL's multimodal capabilities are showcased through image understanding tasks, highlighting the model's proficiency in processing visual information and generating text descriptions.
- Amazon Bedrock Custom Model Import pricing is based on active model copies and their duration of activity, with billing occurring in 5-minute increments for model inference.
- The article concludes by emphasizing how Amazon Bedrock facilitates deploying powerful models like Qwen 2.5 in a serverless environment, offering auto-scaling, pay-per-use pricing, and integration with AWS services for AI workloads.
Read Full Article
14 Likes
For uninterrupted reading, download the app