# `MlTrainedModelDeploymentStats` [interface-MlTrainedModelDeploymentStats]

| Name | Type | Description |
| - | - | - |
| `adaptive_allocations` | [MlAdaptiveAllocationsSettings](./MlAdaptiveAllocationsSettings.md) |   |
| `allocation_status` | [MlTrainedModelDeploymentAllocationStatus](./MlTrainedModelDeploymentAllocationStatus.md) | The detailed allocation status for the deployment. |
| `cache_size` | [ByteSize](./ByteSize.md) |   |
| `deployment_id` | [Id](./Id.md) | The unique identifier for the trained model deployment. |
| `error_count` | [integer](./integer.md) | The sum of `error_count` for all nodes in the deployment. |
| `inference_count` | [integer](./integer.md) | The sum of `inference_count` for all nodes in the deployment. |
| `model_id` | [Id](./Id.md) | The unique identifier for the trained model. |
| `nodes` | [MlTrainedModelDeploymentNodesStats](./MlTrainedModelDeploymentNodesStats.md)[] | The deployment stats for each node that currently has the model allocated. In serverless, stats are reported for a single unnamed virtual node. |
| `number_of_allocations` | [integer](./integer.md) | The number of allocations requested. |
| `peak_throughput_per_minute` | [long](./long.md) |   |
| `priority` | [MlTrainingPriority](./MlTrainingPriority.md) |   |
| `queue_capacity` | [integer](./integer.md) | The number of inference requests that can be queued before new requests are rejected. |
| `reason` | string | The reason for the current deployment state. Usually only populated when the model is not deployed to a node. |
| `rejected_execution_count` | [integer](./integer.md) | The sum of `rejected_execution_count` for all nodes in the deployment. Individual nodes reject an inference request if the inference queue is full. The queue size is controlled by the `queue_capacity` setting in the start trained model deployment API. |
| `start_time` | [EpochTime](./EpochTime.md)<[UnitMillis](./UnitMillis.md)> | The epoch timestamp when the deployment started. |
| `state` | [MlDeploymentAssignmentState](./MlDeploymentAssignmentState.md) | The overall state of the deployment. |
| `threads_per_allocation` | [integer](./integer.md) | The number of threads used be each allocation during inference. |
| `timeout_count` | [integer](./integer.md) | The sum of `timeout_count` for all nodes in the deployment. |