Akhil-reddy/Meta-Llma-legal-lens-500

Legal-Lens-500: Llama-3.1 Fine-Tuned for Legal Clarity

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.

🚀 Impact & Purpose

Inaccessible legal language (legalese) often leads to the exploitation of tenants, students, and freelancers. This model serves as a "first-pass" review tool to:

• —Democratize Legal Knowledge: Translate jargon into a 6th-grade reading level.
• —Identify Risks: Surface hidden obligations in rental and employment agreements.
• —Empower Individuals: Provide clarity before users sign binding documents.

🛠 Technical Specifications

• —Base Model: meta-llama-3.1-8b-instruct
• —Fine-tuning Method: QLoRA (via Unsloth) - Trained 2x faster with optimized memory usage.
• —Export Format: FP16 Safetensors (Optimized for high-speed inference on Featherless.ai).
• —Architecture: Llama 3.1 (8B parameters).

💡 How to Use via Featherless API

Once indexed, you can call this model using the OpenAI-compatible Featherless endpoint:

Vote for API support in the Discussions tab! https://huggingface.co/spaces/huggingface/InferenceSupport/discussions/8980#69cd4d981be3e071495e5581