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docs/reference/api/MlTrainedModelAssignmentTaskParameters.md
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docs/reference/api/MlTrainedModelAssignmentTaskParameters.md
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## Interface `MlTrainedModelAssignmentTaskParameters`
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| Name | Type | Description |
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| - | - | - |
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| `cache_size` | [ByteSize](./ByteSize.md) | The size of the trained model cache. |
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| `deployment_id` | [Id](./Id.md) | The unique identifier for the trained model deployment. |
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| `model_bytes` | [ByteSize](./ByteSize.md) | The size of the trained model in bytes. |
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| `model_id` | [Id](./Id.md) | The unique identifier for the trained model. |
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| `number_of_allocations` | [integer](./integer.md) | The total number of allocations this model is assigned across ML nodes. |
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| `per_allocation_memory_bytes` | [ByteSize](./ByteSize.md) | |
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| `per_deployment_memory_bytes` | [ByteSize](./ByteSize.md) | |
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| `priority` | [MlTrainingPriority](./MlTrainingPriority.md) | |
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| `queue_capacity` | [integer](./integer.md) | Number of inference requests are allowed in the queue at a time. |
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| `threads_per_allocation` | [integer](./integer.md) | Number of threads per allocation. |
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