That is why it is very important to learn how to deploy Machine Learning models. In this article we focus on deploying a small large language model, Tiny-Llama, on an AWS instance called EC2.List of tools I’ve used for this project:...
From the foundation of DeepSeek-R1, DeepSeek AI has created a series of distilled models based on both Meta’s Llama and Qwen architectures, ranging from 1.5–70 billion parameters. The distillation process involves training smaller, more efficient models to mimic the behavior and reasoni...
In this post, we demonstrate how to deploy distilled versions of DeepSeek-R1 models using Amazon Bedrock Custom Model Import. We focus on importing the variants currently supported DeepSeek-R1-Distill-Llama-8B and DeepSeek-R1-Distill-Llama-70B, which offer an opti...
The setup is simple and straightforward. The model is loaded from the Hugging Face model hub, and a generator lambda function is created, encompassing the tokenizer and the transformers pipeline. To access the Llama2 model, a Hugging Face account is required, and the terms form must be complet...
provider "aws" { region = "us-west-2" # Replace with your desired region } resource "aws_instance" "ollama" { ami = "ami-0c55b159cbfafe1f0" # Amazon Linux 2 AMI instance_type = "g4dn.xlarge" key_name = "your-key-pair" # Replace with your key pair name root_block_device {...
aws:iam::111122223333:role/service-role/role-name", resources = resources, predictor_cls = Predictor, ) # Alternate mechanism using ModelBuilder # uncomment the following section to use ModelBuilder /* model_builder = ModelBuilder( model="<HuggingFace-ID>", # like "meta-llama/Llama-2-7b-hf...
Learn how to streamline AI workflows, from setting up multi-node GPU clusters to deploying and fine-tuning models with ease, with real-world examples like live Llama3 model inference and fine-tuning. Watch session 2:10 PM - 2:40 PM CST How AI Agents can delight your customers and grow ...
Llama2 13B Code Llama 7B Code Llama 70B HuggingFace Mistral 7B On this page Pre-optimized JumpStart models Related resources Amazon SageMaker AI API Reference AWS CLI commands for Amazon SageMaker AI SDKs & Tools Did this page help you? Yes No Provide feedback Next topic:Create an opt...
and deploying the ChatQnA example with Docker*. As of the most recent 1.2 release, the default LLM is meta-llama/Meta-Llama-3-8B-Instruct. To run with any of the DeepSeek-R1-Distill models, just change one environment variable. Let’s see how you can run ChatQnA on y...
name: Basic deploy on: push: branches: [ main ] jobs: EC2-Deploy: runs-on: ubuntu-latest steps: - id: deploy name: Deploy uses: bitovi/github-actions-deploy-ollama@v0.1.0 with: aws_access_key_id: ${{ secrets.AWS_ACCESS_KEY_ID}} aws_secret_access_key: ${{ secrets.AWS_SECRET_...