Legal Aid Intake Routing — Multilingual (EN/HI/PA)
LoRA adapter for google/gemma-4-31B-it, fine-tuned for NGO legal-aid intake
routing across English, Hindi, and Punjabi (Gurmukhi). Given a client's
plain-language legal problem in any of these three languages, the model
outputs the relevant practice area (16 classes) plus a short preliminary
analysis.
Built for the
Adaption AutoScientist Challenge (legal category) multilingual bonus track.
Training data
2,898 rows: 1,000 English + 1,000 Hindi + 898 Punjabi, all sourced from the
AutoScientist-adapted
enhanced_prompt (not raw pre-adaptation text) —
tojpaj/legal-aid-intake-routing.
Hindi: machine-translated via MarianMT (Helsinki-NLP/opus-mt-en-hi).
Punjabi: machine-translated via Gemma 4 (google/gemma-4-31B-it) through
Together AI, Gurmukhi script.
Honest caveat: this translates US legal-aid content (LegalBench /
LearnedHands) into Hindi and Punjabi — it demonstrates multilingual routing
on the same 16-class taxonomy, but is not a native Indian-law corpus. A
genuinely India-native version would need separately-sourced Hindi/Punjabi
legal-aid data under Indian law.
Training details
- Base:
google/gemma-4-31B-it
- Method: LoRA (r=8, alpha=16), SFT, via Together AI
- 3 epochs, learning_rate=2e-4
- Fine-tuning job:
ft-65a89869-3409
Usage
This is a LoRA adapter, not a merged model — load on top of the base model,
or serve via Together's dedicated endpoint using the fine-tuned model name
tojpaj_33d2/gemma-4-31B-it-legal-aid-multilingual-2321b6bb.
Framework versions
