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