yuhuiaws / finetuning-and-deploying-llama-on-SagemakerLinks
Use the two different methods (deepspeed and SageMaker model parallelism library) to fine tune llama model on Sagemaker. Then deploy the fine tuned llama on Sagemaker with server side batch.
☆24Updated 2 years ago
Alternatives and similar repositories for finetuning-and-deploying-llama-on-Sagemaker
Users that are interested in finetuning-and-deploying-llama-on-Sagemaker are comparing it to the libraries listed below
Sorting:
- This is a sample about how to run stanford_alpaca on Amazon SageMaker, only for demo use.☆14Updated 2 years ago
- Deploy open-source LLMs on AWS in minutes — with OpenAI-compatible APIs and a powerful CLI/SDK toolkit.☆72Updated 3 weeks ago
- aws-solutions-library-samples / guidance-for-custom-search-of-an-enterprise-knowledge-base-with-amazon-opensearch-serviceThis Guidance demonstrates how to build an application for search based on the information in an enterprise knowledge base through the de…☆17Updated 6 months ago
- ☆116Updated 2 weeks ago
- A CLI tool that helps manage training jobs on the SageMaker HyperPod clusters orchestrated by Amazon EKS☆29Updated last week
- Seamlessly invoke Amazon Bedrock or your custom models, enabling a smooth experience with AWS GenAI services.☆92Updated 2 weeks ago
- ☆55Updated this week
- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stac…☆252Updated 5 months ago
- A solution guidance for Generative BI using Amazon Bedrock, Amazon OpenSearch with RAG☆166Updated 6 months ago
- ☆26Updated last year
- ☆117Updated last week
- ☆121Updated 3 weeks ago
- ☆91Updated last year
- ☆13Updated 4 years ago
- Run FMBench simultaneously across multiple Amazon EC2 machines to benchmark an FM across multiple serving stacks simultaneously☆15Updated 5 months ago
- Spot Tagging Bot for Digital Assets☆18Updated 4 years ago
- ☆29Updated 6 months ago
- ☆14Updated 10 months ago
- ☆54Updated this week
- ☆21Updated 10 months ago
- ☆281Updated last month
- ☆21Updated 4 months ago
- A generative AI-powered framework for testing virtual agents.☆292Updated 5 months ago
- Example code for AWS Neuron SDK developers building inference and training applications☆149Updated 2 weeks ago
- Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.☆343Updated this week
- Region expansion for solution Service Workbench on AWS. A platform that provides researchers with one-click access to collaborative works…☆11Updated last year
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆92Updated 10 months ago
- ☆18Updated this week
- Foundation Model Evaluations Library☆263Updated last month
- Hands-on workshop for distributed training and hosting on SageMaker☆146Updated 3 weeks ago