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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:** rizju
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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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- [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
 
 
 
 
 
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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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+
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+ **First open-source Indian Supreme Court AI trained with RAFT (2024)**
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+
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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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  ---
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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")