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---
stage: Deploy
group: MLOps
info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://handbook.gitlab.com/handbook/product/ux/technical-writing/#assignments
---
# Model registry API
DETAILS:
**Tier:** Free, Premium, Ultimate
**Offering:** GitLab.com, Self-managed, GitLab Dedicated
## Download a machine learning model package
Returns the file.
```plaintext
GET /projects/:id/packages/ml_models/:model_version_id/files/(*path/):file_name
```
Parameters:
| Attribute | Type | Required | Description |
|--------------------|-------------------|----------|----------------------------------------------------------------------------------------|
| `id` | integer or string | yes | The ID or [URL-encoded path of the project](rest/index.md#namespaced-paths) |
| `model_version_id` | integer | yes | The model version ID for the file |
| `path` | string | yes | File directory path |
| `filename` | string | yes | Filename |
```shell
curl --header "Authorization: Bearer <your_access_token>" "https://gitlab.example.com/api/v4/projects/:id/packages/ml_models/:model_version_id/files/(*path/):filename
```
The response contains the file contents.
For example, the following command returns the file `foo.txt` for the model version with an ID of `2` and project with an ID of `1`.
```shell
curl --header "Authorization: Bearer <your_access_token>" "https://gitlab.example.com/api/v4/projects/1/packages/ml_models/2/files/foo.txt
```
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