Fjrros/llama-3-8b-instruct-legal-rag

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kTool Calling:SupportedPublished:Jun 22, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

Fjrros/llama-3-8b-instruct-legal-rag is an 8 billion parameter instruction-tuned Llama 3 model developed by Fjrros, fine-tuned from unsloth/llama-3-8b-Instruct-bnb-4bit. This model is optimized for legal RAG (Retrieval Augmented Generation) tasks, leveraging Unsloth for accelerated training. It is designed to provide relevant and accurate responses within legal contexts, making it suitable for specialized legal information retrieval and generation.

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Fjrros/llama-3-8b-instruct-legal-rag Overview

This model is an 8 billion parameter instruction-tuned Llama 3 variant, developed by Fjrros. It was fine-tuned from unsloth/llama-3-8b-Instruct-bnb-4bit using the Unsloth framework, which enabled 2x faster training, and Huggingface's TRL library. The model is specifically designed and optimized for legal Retrieval Augmented Generation (RAG) applications.

Key Capabilities

  • Legal RAG Optimization: Tailored for retrieving and generating information within legal domains.
  • Instruction Following: Capable of understanding and executing instructions, making it suitable for interactive legal assistance.
  • Efficient Training: Benefits from Unsloth's accelerated training methods, indicating a focus on practical deployment.

Good for

  • Legal Information Retrieval: Ideal for searching and extracting specific legal data from large corpuses.
  • Legal Document Analysis: Can assist in summarizing, analyzing, or generating content related to legal texts.
  • Specialized Legal AI Applications: Suitable for building applications requiring nuanced understanding and generation in the legal sector.

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1 models