---
language:
- hi
license: apache-2.0
library_name: f5-tts
pipeline_tag: text-to-speech
tags:
- haryanvi
- bangru
- indicf5
- work-in-progress
base_model:
- ai4bharat/IndicF5
datasets:
- ankitdhiman/haryanvi-tts
---

# IndicF5 Haryanvi (Bangru) — public preview

This repository is the release destination for an experimental Bangru-focused
Haryanvi adaptation of
[AI4Bharat/IndicF5](https://huggingface.co/ai4bharat/IndicF5).

## Current status

The released IndicF5 checkpoint has been converted into the upstream F5
training format with full intended parameter coverage. A 22-prompt zero-shot
baseline, a four-clip full-precision smoke test, a 200-update tiny overfit test,
and checkpoint inference have passed.

**A finished Haryanvi checkpoint is not published yet.** Native-speaker
listening approval and the pilot fine-tune remain required before release.

The reproducible source code is available at
[sauravtom/haryanvi-indicf5](https://github.com/sauravtom/haryanvi-indicf5).
The accompanying Space is
[kumarx/indicf5-haryanvi-demo](https://huggingface.co/spaces/kumarx/indicf5-haryanvi-demo).

## Dataset scope

The public dataset identifies itself as the **Bangru dialect of Haryanvi**.
This project does not claim coverage of every Haryanvi dialect. At the pinned
revision, 2,766 metadata-linked rows passed automatic filtering, representing
approximately 4.12 hours of audio. Native-speaker review is still a release
gate.

## Responsible use

Only use reference voices that you own or have explicit permission to clone.
Unauthorized impersonation and voice cloning are prohibited.

## Licenses and attribution

- Project release: Apache-2.0
- Base model: AI4Bharat IndicF5, MIT
- Fine-tuning dataset: `ankitdhiman/haryanvi-tts`, Apache-2.0

The final model card will include training configuration, hardware, duration,
evaluation methodology, listening results, known failures, and samples.