# Facet AI

> Bringing out Gemma's best facet. Democratising SLM fine tuning

## Docs

- [Delete dataset by ID](https://facetai.mintlify.app/api-reference/dataset/delete-dataset.md): Delete a dataset and all associated files using its unique processed dataset ID. NOTE: This only deletes preprocessed dataset, NOT raw dataset files!
- [Get dataset by ID](https://facetai.mintlify.app/api-reference/dataset/get-dataset.md): Get information about a dataset using its unique processed dataset ID.
- [Get all datasets](https://facetai.mintlify.app/api-reference/dataset/get-datasets.md): Get information about all the processed datasets owned by the user.
- [Health](https://facetai.mintlify.app/api-reference/dataset/health.md)
- [Process dataset](https://facetai.mintlify.app/api-reference/dataset/process-dataset.md): Process a dataset into ChatML format
- [Upload dataset](https://facetai.mintlify.app/api-reference/dataset/upload-dataset.md): Upload a dataset file to storage
- [Create Export](https://facetai.mintlify.app/api-reference/export/create-export.md)
- [Get Export](https://facetai.mintlify.app/api-reference/export/get-export.md)
- [Get Exports](https://facetai.mintlify.app/api-reference/export/get-exports.md)
- [Health](https://facetai.mintlify.app/api-reference/export/health.md)
- [Batch inference](https://facetai.mintlify.app/api-reference/inference/batch-inference.md): Run batch inference using a trained model
- [Evaluation](https://facetai.mintlify.app/api-reference/inference/evaluation.md): Run evaluation of a fine-tuned model on a dataset
- [Health](https://facetai.mintlify.app/api-reference/inference/health.md)
- [Inference](https://facetai.mintlify.app/api-reference/inference/inference.md): Run inference using a trained model
- [Introduction](https://facetai.mintlify.app/api-reference/introduction.md): API reference for the Gemma Facet cloud services
- [Delete job by ID](https://facetai.mintlify.app/api-reference/training/delete-job.md): Delete a job and all associated GCS resources. This includes the job metadata, config file, adapter/merged model, and GGUF file if available.
- [Download model](https://facetai.mintlify.app/api-reference/training/download-model.md): Generate a signed URL for downloading the GGUF file of a specific job. This is a convenience endpoint that automatically finds the GGUF file path from job status.
- [Get job by ID](https://facetai.mintlify.app/api-reference/training/get-job.md)
- [Jobs](https://facetai.mintlify.app/api-reference/training/get-jobs.md): List all jobs with job_id and job_name.
- [Health](https://facetai.mintlify.app/api-reference/training/health.md)
- [Train model](https://facetai.mintlify.app/api-reference/training/train.md)
- [Preprocessing Guide](https://facetai.mintlify.app/dataset/datasets.md): Complete guide to uploading, processing, and managing datasets in Facet
- [Preprocessing Workflow](https://facetai.mintlify.app/dataset/introduction.md): Prepare and format your datasets for fine-tuning Gemma models with Facet's preprocessing service
- [Deploy Facet AI](https://facetai.mintlify.app/deployment.md): Deploy Facet AI on your own cloud infrastructure for production use
- [Model Deployment Guide](https://facetai.mintlify.app/deployment/deployment.md): Deploy your fine-tuned models for production use with various deployment options
- [Developer's Guide](https://facetai.mintlify.app/developer/index.md)
- [Inference and Export Guide](https://facetai.mintlify.app/evaluation/inference_export.md): Complete guide to testing your models and exporting them for deployment
- [Eval and Exports Workflow](https://facetai.mintlify.app/evaluation/introduction.md): Test your fine-tuned models and run comprehensive evaluations to assess performance
- [Fine-Tuning Workflow](https://facetai.mintlify.app/fine-tuning/introduction.md): Learn how to fine-tune Gemma models for your specific tasks using Facet's training service
- [Fine-tuning Guide](https://facetai.mintlify.app/fine-tuning/training.md): Complete guide to configuring and launching training jobs in Facet
- [Facet AI](https://facetai.mintlify.app/index.md): Democratizing LLM fine-tuning for everyone
- [Quickstart](https://facetai.mintlify.app/quickstart.md): Get started with Facet AI in minutes - fine-tune your first Gemma model
- [Video Tutorials](https://facetai.mintlify.app/tutorials.md): End-to-end walkthrough for real-world use cases

## OpenAPI Specs

- [openapi](https://facetai.mintlify.app/api-reference/dataset/openapi.json)

## Optional

- [GitHub](https://github.com/gemma-facet)