waxal-sna-omniasr-llm-3b

OmniASR LLM-3B v2, fine-tuned for Shona as part of the WAXAL ASR solution.

Released artifact: top-3 FP64 parameter average. Decoded with beam 5, length_norm=True.

Files

File	Bytes
model.pt	17,522,653,578
omniASR_tokenizer_written_v2.model	91,481
card.yaml	—
requirements.txt	—

Total weights: 17,522,653,578 bytes (17.52 GB).

Role in the pipeline

Member of the 4-family word-medoid MBR on the Shona lane.

This model is one component of an ensemble solution and is not intended to be used alone. The routing, decoding, fusion and post-processing pipeline are in the solution repository.

How to use

This is a fairseq2 / omnilingual-asr checkpoint, loaded through the asset card shipped alongside it (card.yaml). The solution repository wraps the whole contract -- pinned environment, batch-size-1 decode, tokenizer wiring -- in one CLI:

git clone https://github.com/DariusTheGeek/waxal-asr-solution
cd waxal-asr-solution && bash install.sh        # pinned environments, ~15 min
python models/download_models.py --repo waxal-sna-omniasr-llm-3b

.venvs/omni/bin/python inference/decode/omniasr.py \
    --config configs/sna/llm3b.yaml \
    --audio path/to/wav_dir --output transcripts.csv

--weights accepts any directory holding this repo's files, e.g. the path returned by huggingface_hub.snapshot_download("DariusTheGeek/waxal-sna-omniasr-llm-3b"). requirements.txt in this repo pins the runtime alone; the environment lock the release was verified under is env/requirements-omni.txt in the solution repository.

Provenance

Parent	facebook/omniASR-LLM-3B-v2
Language	Shona
Fine-tuning data	Waxal Lingala/Shona supervised split (google/WaxalNLP)
Seed	42

Usage

See https://github.com/DariusTheGeek/waxal-asr-solution for the environment locks, decode configuration and the exact command that reproduces the submission end to end from audio.

Licence

apache-2.0, inherited from the parent model.