---
language:
  - eu
tags:
  - whisper
  - basque
  - acft
  - futo-voice-input
base_model: xezpeleta/whisper-small-eu
pipeline_tag: automatic-speech-recognition
---

# whisper-small-eu-acft

Basque Whisper model fine-tuned with **ACFT** (Audio Conditional Fine-Tuning) for
[FUTO Voice Input](https://voiceinput.futo.org/).

## Why ACFT?

FUTO Voice Input runs whisper.cpp with **dynamic `audio_ctx`**: it encodes only
the real audio length instead of zero-padding every clip to 30s. A standard
Whisper model **loops / repeats forever** under dynamic context. ACFT makes the
model robust to context truncation while preserving Basque accuracy.

## Use with FUTO Keyboard

> **You probably want the ready-made GGML `.bin`** → [`whisper-small-eu-acft-ggml`](https://huggingface.co/itzune/whisper-small-eu-acft-ggml)
> (just download and import — no conversion needed).

This is the HuggingFace checkpoint (safetensors). To use it with FUTO Keyboard
yourself, convert to GGML `q8_0` (see `scripts/convert_to_ggml.sh` in the
project repo), then open the resulting `.bin` with **FUTO Keyboard** and pick
**Basque**. FUTO's built-in importer copies it to `voiceinput_eu.bin` and loads
it — no app fork or recompile needed.

## Source

Fine-tuned from [`xezpeleta/whisper-small-eu`](https://huggingface.co/xezpeleta/whisper-small-eu) (Basque language
fine-tune) using FUTO's ACFT method ([futo-org/whisper-acft](https://github.com/futo-org/whisper-acft)).
The reference model in the ACFT loss *is* the Basque fine-tune, so Basque
accuracy is preserved by construction.

## Related

- **GGML `.bin`** (ready to import into FUTO Keyboard): [`whisper-small-eu-acft-ggml`](https://huggingface.co/itzune/whisper-small-eu-acft-ggml)
- **Source model** (Basque language fine-tune): [`xezpeleta/whisper-small-eu`](https://huggingface.co/xezpeleta/whisper-small-eu)