# model-hosting-container-standards **Repository Path**: mirrors_aws/model-hosting-container-standards ## Basic Information - **Project Name**: model-hosting-container-standards - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-11-15 - **Last Updated**: 2026-03-28 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Model Hosting Container Standards Python toolkit for standardized model hosting container implementations with Amazon SageMaker integration. ## Overview This repository provides a Python toolkit that enables TensorRT-LLM and vLLM integration with Amazon SageMaker hosting platform for efficient model deployment and inference. ## Repository Structure ``` ModelHostingContainerStandards/ ├── python/ # Python implementation │ ├── model_hosting_container_standards/ # Main Python package │ │ ├── __init__.py │ │ ├── config.py │ │ ├── logging_config.py │ │ ├── utils.py │ │ ├── common/ # Common utilities │ │ │ ├── fastapi/ # FastAPI integration │ │ │ ├── custom_code_ref_resolver/ # Dynamic code loading │ │ │ └── handler/ # Handler specifications │ │ └── sagemaker/ # SageMaker integration │ │ ├── lora/ # LoRA adapter support │ │ └── sessions/ # Stateful session management │ ├── tests/ # Package tests │ ├── examples/ # Python examples and demos │ ├── pyproject.toml # Python project configuration │ ├── Makefile # Build automation │ └── README.md # Python-specific documentation ├── docs/ # Documentation ├── examples/ # Top-level examples ├── .github/ # GitHub templates and workflows ├── Config # Shared configuration files └── README.md # This file ``` ## Quick Start ```bash cd python poetry install poetry shell ``` See the [Python README](./python/README.md) for detailed usage instructions, examples, and development workflow. ## Contributing When contributing to this repository: 1. Place Python-specific code in the `python/` directory 2. Follow the established patterns for project structure 3. Include tests for new functionality 4. Update documentation as needed 5. Run pre-commit hooks to ensure code quality ## Security See [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information. ## License This project is licensed under the Apache-2.0 License.