license: apache-2.0
datasets:
- bharatgenai/BhashaBench-Legal
- SnehaDeshmukh/IndianBailJudgments-1200
language:
- en
- hi
base_model:
- Qwen/Qwen3-0.6B-Base
pipeline_tag: text-generation
library_name: transformers
tags:
- legal
- BharatGen
- LLM
- pytorch
- transformer
- qwen
Qwen-BharatBench-Legal
Qwen-BharatBench-Legal is a fine-tuned version of Qwen/Qwen3-0.6B-Base for Indian Legal NLP tasks.
This model can answer bail judgment outcome questions and multiple-choice legal questions in both English and Hindi.
Key Features
Domain-specific: Trained on real Indian legal judgments + law MCQs.
Bilingual: Supports English + Hindi inputs.
Compact: Based on Qwen 0.6B — lightweight and efficient for experimentation.
LoRA Fine-Tuned: Only ~0.38% of parameters trained → efficient & deployable.
Training Data
SnehaDeshmukh/IndianBailJudgments-1200: Bail outcome prediction dataset.
BharatBench-Legal: 24k+ Hindi & English law MCQs covering Contract Law, IPC, Family Law, etc.
Training Details
Base Model: Qwen/Qwen3-0.6B-Base
Method: LoRA fine-tuning (PEFT)
Epochs: 3
Train Samples: ~25,500
Final Train Loss: ~0.017
Intended Use
Educational & research purposes in Legal NLP.
Legal reasoning experiments in Indian context.
Teaching tools for law students.
Not a substitute for professional legal advice.
NOTE: The model may hallucinate or produce incorrect legal outcomes. Always consult a qualified lawyer for real cases.
License: Apache 2.0