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.
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(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 (Basque language
fine-tune) using FUTO's ACFT method (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 - Source model (Basque language fine-tune):
xezpeleta/whisper-small-eu