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Model: Akhil-reddy/Meta-Llma-legal-lens-500 Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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base_model: unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
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tags:
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- legal
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- text-simplification
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- llama-3.1
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- justice-tech
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- unsloth
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- impacthacks
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- featherless-ai
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model_name: Legal-Lens-500
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language:
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- en
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pipeline_tag: text-generation
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---
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# Legal-Lens-500: Llama-3.1 Fine-Tuned for Legal Clarity
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Developed by **Akhil Reddy & Ben Gideon** for **ImpactHacks 2026**, **Legal-Lens-500** is a specialized 8B parameter model designed to bridge the "Justice Gap." It simplifies dense legal contracts into plain English and identifies potential "red flag" clauses for non-experts.
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## 🚀 Impact & Purpose
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Inaccessible legal language (legalese) often leads to the exploitation of tenants, students, and freelancers. This model serves as a "first-pass" review tool to:
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- **Democratize Legal Knowledge:** Translate jargon into a 6th-grade reading level.
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- **Identify Risks:** Surface hidden obligations in rental and employment agreements.
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- **Empower Individuals:** Provide clarity before users sign binding documents.
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## 🛠 Technical Specifications
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- **Base Model:** `meta-llama-3.1-8b-instruct`
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- **Fine-tuning Method:** QLoRA (via Unsloth) - Trained 2x faster with optimized memory usage.
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- **Export Format:** **FP16 Safetensors** (Optimized for high-speed inference on [Featherless.ai](https://featherless.ai)).
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- **Architecture:** Llama 3.1 (8B parameters).
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## 💡 How to Use via Featherless API
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Once indexed, you can call this model using the OpenAI-compatible Featherless endpoint:
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Vote for API support in the Discussions tab!
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https://huggingface.co/spaces/huggingface/InferenceSupport/discussions/8980#69cd4d981be3e071495e5581
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