> ## Documentation Index > Fetch the complete documentation index at: https://docs.fireworks.ai/llms.txt > Use this file to discover all available pages before exploring further. # Get Deployment Shape Version ## OpenAPI ````yaml get /v1/accounts/{account_id}/deploymentShapes/{deployment_shape_id}/versions/{version_id} openapi: 3.1.0 info: title: Gateway REST API version: 4.259.0 servers: - url: https://api.fireworks.ai security: - BearerAuth: [] tags: - name: Gateway paths: /v1/accounts/{account_id}/deploymentShapes/{deployment_shape_id}/versions/{version_id}: get: tags: - Gateway summary: Get Deployment Shape Version operationId: Gateway_GetDeploymentShapeVersion parameters: - name: readMask description: >- The fields to be returned in the response. If empty or "*", all fields will be returned. in: query required: false schema: type: string - name: account_id in: path required: true description: The Account Id schema: type: string - name: deployment_shape_id in: path required: true description: The Deployment Shape Id schema: type: string - name: version_id in: path required: true description: The Version Id schema: type: string responses: '200': description: A successful response. content: application/json: schema: $ref: '#/components/schemas/gatewayDeploymentShapeVersion' components: schemas: gatewayDeploymentShapeVersion: type: object properties: name: type: string title: >- The resource name of the deployment shape version. e.g. accounts/my-account/deploymentShapes/my-deployment-shape/versions/{version_id} readOnly: true createTime: type: string format: date-time description: >- The creation time of the deployment shape version. Lists will be ordered by this field. readOnly: true snapshot: $ref: '#/components/schemas/gatewayDeploymentShape' description: Full snapshot of the Deployment Shape at this version. readOnly: true validated: type: boolean description: If true, this version has been validated. public: type: boolean description: If true, this version will be publicly readable. latestValidated: type: boolean description: |- If true, this version is the latest validated version. Only one version of the shape can be the latest validated version. readOnly: true title: >- A deployment shape version is a specific version of a deployment shape. Versions are immutable, only created on updates and deleted when the deployment shape is deleted. gatewayDeploymentShape: type: object properties: name: type: string title: >- The resource name of the deployment shape. e.g. accounts/my-account/deploymentShapes/my-deployment-shape readOnly: true displayName: type: string description: >- Human-readable display name of the deployment shape. e.g. "My Deployment Shape" Must be fewer than 64 characters long. description: type: string description: >- The description of the deployment shape. Must be fewer than 1000 characters long. createTime: type: string format: date-time description: The creation time of the deployment shape. readOnly: true updateTime: type: string format: date-time description: The update time for the deployment shape. readOnly: true baseModel: type: string title: The base model name. e.g. accounts/fireworks/models/falcon-7b modelType: type: string description: The model type of the base model. readOnly: true parameterCount: type: string format: int64 description: The parameter count of the base model . readOnly: true acceleratorCount: type: integer format: int32 description: >- The number of accelerators used per replica. If not specified, the default is the estimated minimum required by the base model. acceleratorType: $ref: '#/components/schemas/gatewayAcceleratorType' description: |- The type of accelerator to use. If not specified, the default is NVIDIA_A100_80GB. precision: $ref: '#/components/schemas/DeploymentPrecision' description: The precision with which the model should be served. disableDeploymentSizeValidation: type: boolean description: If true, the deployment size validation is disabled. enableAddons: type: boolean description: >- If true, LORA addons are enabled for deployments created from this shape. draftTokenCount: type: integer format: int32 description: |- The number of candidate tokens to generate per step for speculative decoding. Default is the base model's draft_token_count. draftModel: type: string description: >- The draft model name for speculative decoding. e.g. accounts/fireworks/models/my-draft-model If empty, speculative decoding using a draft model is disabled. Default is the base model's default_draft_model. Deprecated: set default_draft_model on the base model instead. ngramSpeculationLength: type: integer format: int32 description: >- The length of previous input sequence to be considered for N-gram speculation. disableSpeculativeDecoding: type: boolean description: >- If true, speculative decoding is disabled for deployments created from this shape, even if the base model has default draft model settings. enableSessionAffinity: type: boolean description: Whether to apply sticky routing based on `user` field. numLoraDeviceCached: type: integer format: int32 title: How many LORA adapters to keep on GPU side for caching maxContextLength: type: integer format: int32 description: >- The maximum context length supported by the model (context window). If set to 0 or not specified, the model's default maximum context length will be used. presetType: $ref: '#/components/schemas/DeploymentShapePresetType' description: Type of deployment shape for different deployment configurations. title: >- A deployment shape is a set of parameters that define the shape of a deployment. Deployments are created from a deployment shape. required: - baseModel gatewayAcceleratorType: type: string enum: - ACCELERATOR_TYPE_UNSPECIFIED - NVIDIA_A100_80GB - NVIDIA_H100_80GB - AMD_MI300X_192GB - NVIDIA_A10G_24GB - NVIDIA_A100_40GB - NVIDIA_L4_24GB - NVIDIA_H200_141GB - NVIDIA_B200_180GB - AMD_MI325X_256GB - AMD_MI350X_288GB - NVIDIA_B300_288GB default: ACCELERATOR_TYPE_UNSPECIFIED DeploymentPrecision: type: string enum: - PRECISION_UNSPECIFIED - FP16 - FP8 - FP8_MM - FP8_AR - FP8_MM_KV_ATTN - FP8_KV - FP8_MM_V2 - FP8_V2 - FP8_MM_KV_ATTN_V2 - NF4 - FP4 - BF16 - FP4_BLOCKSCALED_MM - FP4_MX_MOE default: PRECISION_UNSPECIFIED title: >- - PRECISION_UNSPECIFIED: if left unspecified we will treat this as a legacy model created before self serve DeploymentShapePresetType: type: string enum: - PRESET_TYPE_UNSPECIFIED - MINIMAL - FAST - THROUGHPUT - FULL_PRECISION - AGENTIC_CODING - CHAT - SUMMARIZATION default: PRESET_TYPE_UNSPECIFIED title: |- - MINIMAL: Preset for cheapest & most minimal type of deployment - FAST: Preset for fastest generation & TTFT deployment - THROUGHPUT: Preset for best throughput deployment - FULL_PRECISION: Preset for deployment with full precision for training & most accurate numerics - AGENTIC_CODING: Preset for autonomous code generation and analysis for development workflows - CHAT: Preset for interactive conversational AI for customer engagement - SUMMARIZATION: Preset for efficient document and content summarization securitySchemes: BearerAuth: type: http scheme: bearer description: >- Bearer authentication using your Fireworks API key. Format: Bearer bearerFormat: API_KEY ````