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---
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base_model: unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
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tags:
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# Uploaded finetuned model
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- **Developed by:**
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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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---
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base_model: unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
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tags:
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- raft
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- legal-ai
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- indian-law
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- rag
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- supreme-court
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- llama-3.1
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license: apache-2.0
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language:
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- en
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---
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# JuriMind-Indian-Law-RAFT
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**First open-source Indian Supreme Court AI trained with RAFT (2024)**
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- Base: **Meta-Llama-3.1-8B-Instruct** (merged 16-bit)
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- Training: 800 high-quality RAFT examples from real Supreme Court judgments
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- Method: LoRA (r=64) → 5 epochs → merged
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- Specialty: Handles noisy retrieval, cites sources with `##begin_quote## ... ##end_quote##`
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- Perfect for legal research, case law analysis, judgment summarization
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---
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base_model: unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
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tags:
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# Uploaded finetuned model
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- **Developed by:** Rizwan
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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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### Usage
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```python
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from transformers import pipeline
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pipe = pipeline("text-generation", model="rizju/JuriMind-Indian-Law-RAFT", device_map="auto")
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