> ## Documentation Index
> Fetch the complete documentation index at: https://docs.forii.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Fine-Tuning

> Fine-tune models on your domain data — Coming Soon

<Warning>
  This endpoint is not yet available. It is planned for a future release.
</Warning>

Fine-tune models on Hindi, Tamil, Bengali, and other Indic-language data. Matches OpenAI's fine-tuning API shape so existing training pipelines work.

## Planned endpoints

| Operation      | Method | Path                                         |
| -------------- | ------ | -------------------------------------------- |
| Create SFT job | POST   | `/inference/v1/fine_tuning/jobs`             |
| List SFT jobs  | GET    | `/inference/v1/fine_tuning/jobs`             |
| Get SFT job    | GET    | `/inference/v1/fine_tuning/jobs/{id}`        |
| Cancel SFT job | POST   | `/inference/v1/fine_tuning/jobs/{id}/cancel` |

## India differentiation

No global platform offers fine-tuning on Indic-language data well. Forii will provide:

* **Hindi, Tamil, Bengali** — Domain-specific fine-tuning on Indic languages
* **Legal, medical, financial** — Vertical-specific datasets for Indian industries
* **SFT first, DPO later** — Start with supervised fine-tuning, add DPO and RFT later

<Info>
  DPO (Direct Preference Optimization) and RFT (Reinforcement Fine-Tuning) are planned for a future release, after SFT is solid.
</Info>

## Related

* [Models](/docs/concepts/models) — Available base models
* [Roadmap](/docs/support/roadmap) — Feature timeline