Qubrid AI Fine-Tuning Jobs API
Create, monitor, and manage fine-tuning jobs that customize pre-deployed text generation and code generation models using uploaded training datasets on GPU infrastructure.
Qubrid AI Fine-Tuning Jobs API is one of 13 APIs that Qubrid AI publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
This API exposes 4 JSON Schema definitions.
Tagged areas include Fine-Tuning Jobs. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, and 4 JSON Schemas.
This API exposes 4 operations across 3 paths, and defines 6 schemas. It is described by OpenAPI 3.1.0, at version 1.0.0.
Requests are made against a single base URL, https://platform.qubrid.com/api/v1.
Metadata
The identity and technical contract details declared by the specification.
Authentication & Security 1
Qubrid AI Fine-Tuning Jobs API declares
1 security scheme
for authenticating requests.
It accepts HTTP bearer tokens (QUBRID_API_KEY) (bearerAuth).
By default, every request must be authenticated.
bearerAuth— Qubrid AI API key passed as a bearer token in the Authorization header. Obtain your API key from the Qubrid AI platform dashboard at https://platform.qubrid.co…
Paths & Operations 4
Across 3 paths, the API surfaces 4 operations — 2 GET, 2 POST. Each is listed below with its method, path, parameters, and response codes.
Create, monitor, and manage fine-tuning jobs that customize pre-deployed text generation and code generation models using uploaded training datasets on GPU infrastructure.
Schemas 6
The contract defines 6 schemas that model the data the API accepts and returns. The most detailed are FineTuningJob (10 properties), CreateFineTuningJobRequest (5 properties), TrainingMetrics (4 properties), Hyperparameters (4 properties). Each schema is shown below with its type and property counts.
Specification
The full machine-readable OpenAPI contract behind this narrative.
Source
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Other APIs Qubrid AI publishes across the network.