{ "opencollection": "1.0.0", "info": { "name": "Predibase Adapters Fine-Tuning API", "version": "2.0" }, "request": { "auth": { "type": "bearer", "token": "{{bearerToken}}" } }, "items": [ { "info": { "name": "Fine-Tuning", "type": "folder" }, "items": [ { "info": { "name": "List fine-tuning jobs.", "type": "http" }, "http": { "method": "GET", "url": "https://serving.app.predibase.com/{tenant}/deployments/v2/llms/{model}/finetuning/jobs" }, "docs": "List fine-tuning jobs." }, { "info": { "name": "Create a fine-tuning job.", "type": "http" }, "http": { "method": "POST", "url": "https://serving.app.predibase.com/{tenant}/deployments/v2/llms/{model}/finetuning/jobs", "body": { "type": "json", "data": "{}" } }, "docs": "Starts a supervised or reinforcement (GRPO) fine-tuning job that trains a LoRA / Turbo LoRA adapter on a base model using a connected dataset, producing a new adapter version in the target repository." }, { "info": { "name": "Get a fine-tuning job.", "type": "http" }, "http": { "method": "GET", "url": "https://serving.app.predibase.com/{tenant}/deployments/v2/llms/{model}/finetuning/jobs/:jobId", "params": [ { "name": "jobId", "value": "", "type": "path" } ] }, "docs": "Get a fine-tuning job." }, { "info": { "name": "Cancel a fine-tuning job.", "type": "http" }, "http": { "method": "POST", "url": "https://serving.app.predibase.com/{tenant}/deployments/v2/llms/{model}/finetuning/jobs/:jobId/cancel", "params": [ { "name": "jobId", "value": "", "type": "path" } ] }, "docs": "Cancel a fine-tuning job." } ] } ], "bundled": true }