{ "opencollection": "1.0.0", "info": { "name": "Predibase Adapters Deployments API", "version": "2.0" }, "request": { "auth": { "type": "bearer", "token": "{{bearerToken}}" } }, "items": [ { "info": { "name": "Deployments", "type": "folder" }, "items": [ { "info": { "name": "List deployments.", "type": "http" }, "http": { "method": "GET", "url": "https://serving.app.predibase.com/{tenant}/deployments/v2/llms/{model}/deployments" }, "docs": "List deployments." }, { "info": { "name": "Create a dedicated deployment.", "type": "http" }, "http": { "method": "POST", "url": "https://serving.app.predibase.com/{tenant}/deployments/v2/llms/{model}/deployments", "body": { "type": "json", "data": "{}" } }, "docs": "Creates a dedicated or private serverless deployment of a base model on a selected GPU accelerator (e.g. a10_24gb, a100_80gb), with LoRA serving enabled for fine-tuned adapters." }, { "info": { "name": "Get a deployment.", "type": "http" }, "http": { "method": "GET", "url": "https://serving.app.predibase.com/{tenant}/deployments/v2/llms/{model}/deployments/:deploymentName", "params": [ { "name": "deploymentName", "value": "", "type": "path" } ] }, "docs": "Get a deployment." }, { "info": { "name": "Delete a deployment.", "type": "http" }, "http": { "method": "DELETE", "url": "https://serving.app.predibase.com/{tenant}/deployments/v2/llms/{model}/deployments/:deploymentName", "params": [ { "name": "deploymentName", "value": "", "type": "path" } ] }, "docs": "Delete a deployment." } ] } ], "bundled": true }