Instructions to use ajaxdavis/mobtranslate-wajarri-v3-controlled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
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- PEFT
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MobTranslate Wajarri v3 controlled adapter
This is a compact NLLB LoRA adapter for one deliberately bounded English-to-Wajarri
task. It accepts a dictionary-resolved Wajarri subject through a nonlinguistic
<copy> slot and generates one of six complete, source-supported predicate templates.
It is not a free-form Wajarri translator and has not passed an independent speaker-diverse natural-language gate. Known words must come from deterministic dictionary lookup. Inputs outside the six frozen constructions must be rejected or routed elsewhere.
Immutable identity
| Field | Value |
|---|---|
| Model repository | ajaxdavis/mobtranslate-wajarri-v3-controlled |
| Version/tag | v3.0.0-controlled-subject-slot-s17-step40-20260802 |
| Base repository | ajaxdavis/mobtranslate-wajarri-v1 |
| Base revision | ddae6103913b7cab299d687bee2dc7904fd59459 |
| Base weights SHA-256 | 41ea844f30d6af1f2761d71126eb66a6d47c84c3294538bb1851afcd5043fe0e |
| Adapter weights SHA-256 | a4a91d4e6a6ba49509a8ab432c0674686c96b4611f58db8b63089f26707ed3d6 |
| Winning confirmation seed | 17 |
| Adapter topology | rank-16 LoRA over q/k/v/out projections and fc1/fc2 |
Authorized task
The caller first resolves one unique English subject to an approved Wajarri dictionary
surface. It then replaces the English subject with <copy>, generates with decoder
prefix [decoder_start_token_id, wbv_Latn, <copy>], verifies the raw template exactly,
and replaces the single output slot with the dictionary surface.
| English construction | Required raw model output |
|---|---|
The <copy> is coming towards the speaker. |
<copy> yanajimanha. |
The <copy> is going away from the speaker. |
<copy> yanmanha. |
The <copy> is running. |
<copy> jamarnimanha. |
The <copy> is sitting down. |
<copy> nyinarangamanha. |
The <copy> is sitting. |
<copy> nyinamanha. |
The <copy> is standing. |
<copy> garrimanha. |
Generation is greedy (num_beams=1), deterministic, with max_new_tokens=64,
no_repeat_ngram_size=0, repetition_penalty=1.0, and length_penalty=1.0.
Evidence and limits
- Three independently seeded deterministic training runs must pass the 35/35 controlled route, batch-1/batch-16 invariance, retained fixed-utterance noninferiority, synthetic holdout noninferiority, zero mechanical faults, and distinct-weight gates.
- The published winner must reproduce all 35 controlled outputs byte-for-byte under A40 bfloat16 and CPU float32 execution.
- These are controlled template and runtime-parity findings. They do not establish broad sentence translation, naturalness, dialect suitability, or speaker approval.
- Closed dictionary reconstruction remains a research diagnostic; production dictionary answers should be returned from the database.
See docs/COMPLETE-TRAINING-EVALUATION-AND-HOSTING-GUIDE.md, release.json, and
the files under evaluation/ and provenance/ for the complete machine-checkable record.
The public training dataset is at
https://huggingface.co/datasets/ajaxdavis/mobtranslate-wajarri-synthetic-corpus-v1.
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Model tree for ajaxdavis/mobtranslate-wajarri-v3-controlled
Base model
facebook/nllb-200-distilled-600M