Install & Compatibility
Where this runs
tested against v1.1.11 · pip install
no network on importno background threads
Install × environment matrix
Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux
muslpy 3.10–3.920 runs
installs and imports cleanly · install 0.0s · import 0.000s · 49.8MB
glibcpy 3.10–3.920 runs
installs and imports cleanly · install 3.0s · import 0.000s · 51MB
48MB installed
● package 48MB
Code
Verified usage
Verified import paths — ran on the pinned version, not inferred.
Multi Model Server CLI
✓ multi-model-server --start
The `multi-model-server` package primarily provides a command-line interface (CLI) for starting the server, rather than a Python programmatic API for direct imports. No common Python library symbols are exposed for direct import and usage.
This quickstart demonstrates how to install and start the deprecated Multi Model Server using its command-line interface. Note that for actual model serving, you would typically archive models first. Given the project's deprecated status, this is provided for historical context or existing deployments only.
# 1. Install the deprecated server
pip install multi-model-server
# 2. (Optional, but highly recommended for actual serving) Create a model archive.
# Note: torch-model-archiver is now part of TorchServe installation.
# If you need to archive models for this deprecated MMS, you might need
# an older, compatible version of torch-model-archiver or manually bundle.
# Example using (potentially incompatible) current torch-model-archiver syntax:
# torch-model-archiver --model-name mymodel --version 1.0 --model-file model.py --handler handler.py
# 3. Start the Multi Model Server
multi-model-server --start
mxnet-model-server --version
Debug
Known issues
breakingThe `multi-model-server` project is officially deprecated and is no longer actively maintained. All active development has shifted to TorchServe.fixMigrate your model serving infrastructure to TorchServe (https://pytorch.org/serve/) for continued support, security updates, and new features.
affects: All versions, especially 1.x and earlier.
gotchaThis package will not receive security updates or bug fixes. Continuing to use it in production environments poses significant security risks due to unpatched vulnerabilities.fixImmediately plan and execute migration to TorchServe to ensure your serving environment is secure and supported.
affects: All versions, especially 1.x and earlier.
gotchaThe `multi-model-server` PyPI package primarily provides a command-line interface (CLI) tool. It does not offer a standard Python library API for programmatic `import` and direct interaction.fixInteract with the server via its command-line interface or HTTP API. If you require programmatic Python control over a model server, TorchServe provides more appropriate client libraries and APIs.
affects: All versions.
Upgrade
Version history
1.1.11latest on PyPI · released Jun 20, 2023
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Dependencies
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