Instructions to use ajaxdavis/mobtranslate-anindilyakwa-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ajaxdavis/mobtranslate-anindilyakwa-v1 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="ajaxdavis/mobtranslate-anindilyakwa-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ajaxdavis/mobtranslate-anindilyakwa-v1") model = AutoModelForSeq2SeqLM.from_pretrained("ajaxdavis/mobtranslate-anindilyakwa-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Anindilyakwa experimental scripture-domain baseline v0.2.0
This is a Traditional-Owner-authorized public experimental research preview with a failed automatic quality evaluation. It is not a reliable or fluent Anindilyakwa translator. Its purpose is to make the existing reproducible baseline available for transparent testing while preserving the evidence of its limitations.
Release decision
- Public model release: authorized by direct self-attested Traditional Owner direction
- Hugging Face Space inference: public experimental preview
- MobTranslate homepage inference: public experimental preview
- Public dataset: not created
- Qualified fluent-language review: 0 of 938 required role decisions complete
- Independent blind or escrowed final test: not present
The operator attested that they are a Traditional Owner, directed public publication, confirmed that all permissions were obtained, and accepted responsibility for the program. Identity and underlying permission documents were not independently verified by the agent. This direction authorizes publication; it does not establish linguistic quality or representative free-form competence.
Training identity
| Item | Value |
|---|---|
| Run | anindilyakwa-private-baseline-20260809-a1 |
| Base | facebook/nllb-200-distilled-600M at f8d333a098d19b4fd9a8b18f94170487ad3f821d |
| Direction | English (eng_Latn) to Anindilyakwa (aoi_Latn) |
| Target control | aoi_Latn, token ID 256204 |
| Training rows | 3,477 |
| Development rows | 643 |
| Optimizer updates | 330 |
| Presentations | 10,584 across all 3,477 training rows |
| Best development checkpoint | step 330, chrF2 7.7615 |
| Model manifest SHA-256 | 7f570ac7b30d6005ab9cec77f60a72f9e66845ae27d373e3c05ae45f7fee5337 |
| Merged weight SHA-256 | d8d5d1a17976838cf15435e97b4ae882e9e1c128cd0ce515cb42fe863ab2cbc6 |
The corpus is a benchmark-filtered scripture-domain research edition. It is not representative of unrestricted conversation or general translation.
Mechanical verification
The training mechanism passed its reproducibility checks:
- 330/330 optimizer updates were observed.
- The selected
aoi_Latntied embedding/output row received non-zero gradients and changed. - Unselected control rows (
eng_Latn,<pad>, and</s>) did not change. - All 72 LoRA-B parameters changed and remained finite.
- Adapter and merged tokenizer reload audits passed.
- The eight merged files independently match the training manifest.
Mechanical success is not translation quality.
Route-separated diagnostic failure
The frozen diagnostic evaluated 959 rows separately as lexical reconstruction, fixed utterances, and natural sentences. The test candidates were excluded from training, but they were not blind or independently escrowed and have no qualified fluent-language adjudication.
| Route | Test rows | Exact | chrF2 | High-repetition flags |
|---|---|---|---|---|
| Lexical | 131 | 0 | 1.8236 | 131 |
| Fixed utterance | 14 | 0 | 2.4775 | 14 |
| Natural sentence | 60 | 0 | 2.3967 | 60 |
Across development and test, all 959 outputs triggered the high-repetition audit and none exactly matched its reference. The quality gate therefore remains failed even though publication is now explicitly authorized as an experimental preview. The full metrics are in evidence/route-evaluation-report.json; predictions remain in the canonical research archive and are not uploaded here.
Intended use
This repository is for public audit, reproducibility work, degeneration analysis, and experimental inference. Do not rely on its output for language learning, production translation, health, legal, ceremonial, educational-assessment, cultural-authority, or fluent-speaker substitution. Every output should be treated as an unverified model prediction that may be repetitive or wrong.
Licences and provenance
The NLLB base model is subject to CC BY-NC 4.0. Source-specific terms and the operator permission attestation also apply. No source corpus or dataset is distributed in this model repository.
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Model tree for ajaxdavis/mobtranslate-anindilyakwa-v1
Base model
facebook/nllb-200-distilled-600M